Dr. Partha Pakray

Partha Pakray
Dr. Partha Pakray
Email:
 partha@cse.nits.ac.in

ACADEMIC QUALIFICATIONS

  • B.E. (Computer Science & Engineering)
  • M.E. (Computer Science & Engineering)
  • Ph.D. (Computer Science & Engineering)                                                                                                      

 


TEACHING EXPERIENCE

  • Assistant Professor, National Institute of Technology Silchar (Govt. of India), Regular Position  (Aug, 2018 – now)
  • Assistant Professor, National Institute of Technology Mizoram (Govt. of India), Regular Position  (2015-2018)

RESEARCH EXPERIENCE & POST DOCTORAL 

  • Visiting Researcher, Aix*Marseille University, Marseille, France
  • Associate Fellow Institute – Research, IIR4.0, Universiti Kebangsaan Malaysia (UKM), Malaysia
  • Guest Researcher, University of Bremen, Germany Funded by DST-DAAD (Govt. of India)
  • Post Doc Fellow, Masaryk University, Czech Republic – Funded by ERCIM & MU (European Union)
  • Post Doc Fellow, Norwegian University of Science & Technology, Norway – Funded by ERCIM (European Union)
  • Research Intern, Xerox Research Centre Europe, France - Funded by XRCE, France
  • Researcher, CIC-IPN, Mexico – Funded by DST-CONACYT (Govt. of India)

ADMINISTRATIVE EXPERIENCE

  • Department PhD Program Committee (DPPC) Member, NIT Silchar, Aug, 2021 – now
  • MemberIIC Council, NIT Silchar
  • Technical Committee Member, Induction Programme, BTech Batch 2020-2024 
  • Technical Committee Member, XIII Convocation, Nov 02, 2020
  • DPC Member, Computer Center, NIT Silchar
  • Department Undergraduate Program Committee (DUPC) Member, NIT Silchar, 2019-2021
  • NBA Co-coordinator, NIT Silchar
  • Dy. Nodal Officer, Deemed University Examination – AICTE , NIT Silchar
  • QS world university ranking member – institute level, NIT Silchar                                                                                                                                

 AREA OF INTEREST AND SPECIALISATION (INCLUDING RESEARCH AREA)

  • Machine Learning
  • Deep Learning
  • Quantum Machine Learning
  • Natural Language Processing
  • Cybersecurity – Fake News Detection, Cyberbullying, Analysis of Hinglish content
  • Machine Translation
  • Gender Equality and Gender Bias
  • Semantic Textual Similarity
  • Text Entailment
  • Question Answering
  • Machine Intelligence 
  • Information Retrieval

Research Participations – Shared Task/ Evaluation Tracks/ Competitions:

1. Participated in Shared Task: Similar Language Translation, ACL 2019: Fourth Conference On Machine Translation (WMT19), August 1-2, 2019 Florence, Italy – Our Team: NITS-CNLP achieved Best Result for Nepali-Hindi language pair.  This system is based on Neural Machine Translation. Here is the result: WMT-2019

2. Participation in Shared Task: WAT 2019 The 6th Workshop on Asian Translation – “Multi-Modal Translation Task”, Evaluation Week: Aug 03-10, 2019, and November 3-4, 2019: WAT2019 takes place. Our Team name: 683. Result Here. Thanks to team members.

3. Participated in “COVID19 Global Forecasting (Week 1) Forecast daily COVID-19 spread in regions around world”, Leader Board: https://www.kaggle.com/c/covid19-global-forecasting-week-1/leaderboard Team Name: CoronaFootmark

4. Participated in “ARQMath: Answer Retrieval for Questions on Math” under CLEF, Team Name: NITS-CNLP,Link https://www.cs.rit.edu/~dprl/ARQMath/

5. Participated in “FIFTH CONFERENCE ON MACHINE TRANSLATION (WMT20)” under EMNLP 2020, for the shared task: Similar Language Translation, Link: statmt.org/wmt20/similar.html, Team Name: NITS-CNLP.

6. Participation in Shared Task: WAT 2020 The 7th Workshop on Asian Translation, Our Team name: CNLP-NITSResult Here Thanks to team members.

7. Participation in Shared Task: Fake News Detection in the Urdu Language (UrduFake) – FIRE 2020, Our Team name: CNLP-NITSResult Here Thanks to team members.

8. Participation in Shared Task: Causality-driven Adhoc Information Retrieval - Forum for Information Retrieval Evaluation (FIRE) – 2020, Our Team name: CNLP-NITSResult Here Thanks to team members.

9. Participation in  English to Hindi Translation Sprint (अंग्रेजी से हिंदी अनुवाद कार्यक्रम) – TDIL – organized by C-DAC Pune, Our Team name: CNLP-NITS. Thanks to team members.

10. Participation in NLP HACK 2021 organized by CIE IIIT Hyderabad, April 2-3, 2021. Team Name: CNLP-NITS-PP, Thanks to all team members.

11. Participation in Lip-Sync Challenge, 2021 and received top scorer (English -> Hindi): Link

SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

  • Natural Language Processing
  • Artificial Intelligence
  • Machine Translation
  • Database Management System
  • Machine Learning
  • Software Engineering

New Course/ Lab introduced for Core Course/ Elective:

  • Introduction to GPU Programming
  • Introduction to Blockchain
  • Introduction to Parallel Computing
  • Software Engineering Laboratory

Subject Teaching/ Taught:

Sl No     Subject Name Semester Duration Status
1 Artificial Intelligence 7th Semester (BTech) Odd Semester, 2018 Completed, NIT Silchar
2 Natural Language Processing (CS1436) 7th Semester (BTech),1st Semester (MTech),1st Semester (PhD coursework) Odd Semester, 2018 Completed, NIT Silchar
3 Database Management System (CS1307) 6th Semester (BTech) Even Semester, 2019 Completed, NIT Silchar
4 Software Engineering (CS1308) 6th Semester (BTech) Even Semester, 2019 Completed, NIT Silchar
5 Introduction to Programming (CS101) 1st Semester (BTech) Odd Semester, 2019 Completed, NIT Silchar
6 Software Engineering (CS 1308) 6th Semester (BTech), Section: A & B, Credit: 8, Online Class  Even Semester, 2020 Completed, NIT Silchar
7 Artificial Intelligence (CSL 1701) 6th Semester (CSE), PhD Course Work, Credit: 6, Online Class Even Semester, 2020 Completed, NIT Mizoram
8 Introduction to Programming (CS 101) Backlog Students – Summer Term, Online Class Summer Semester (June-July, 2020) Completed, NIT Silchar
9 Natural Language Processing (CS 1436) (EL II) BTech (7th Semester), Credit: 6, Online Class  Odd Semester, 2020 Completed, NIT Silchar
10 Software Engineering (CS 304) BTech (Fifth Semester), Credit: 4, Online Class  Odd Semester, 2020 Completed, NIT Silchar
11 Natural Language Processing (CS5140) MTech & Ph.D. Coursework, Credit: 6, Online Class  Odd Semester, 2020  Completed, NIT Silchar
12 Artificial Intelligence (CS-1509) MTech (Second Semester), Credit: 3 (3-0-0), Online Class  Even Semester, 2021 Completed, NIT Silchar
13 Natural Language Processing (CS332) BTech (Six Semester), Credit: 4 (3-1-0), Online Class Even Semester, 2021 Completed, NIT Silchar
14 Natural Language Processing Lab (CS332) BTech (Six Semester), Credit: 2 (0-0-3), Online Class Even Semester, 2021 Completed, NIT Silchar
15 Artificial Intelligence (CS401) BTech (Seven Semester), Credit: 4 (3-1-0), Online Class  Odd Semester, 2021 Completed, NIT Silchar
16 Artificial Intelligence (CS5202) MTech in AI (First Semester), Credit: 3 (3-0-0), Online Class  Odd Semester, 2021 Completed, NIT Silchar
17 Machine Translation (CS 485) BTech in CSE Open Elective- III (8th Semester), Online Class (up to Mid Sem), Physical Class – 23.03.2022 (G312) Even Semester, 2022 Completed, NIT Silchar
18 Artificial Intelligence (CS-1509) MTech (CSE, Second Semester), Credit: 3 (3-0-0), Online Class – up to 25.03.2022, Physical Class – 28.03.2022 (CS 2203) Even Semester, 2022 Completed, NIT Silchar
19 Artificial Intelligence (CS401) BTech (Seven Semester), Credit: 4 (3-1-0) Odd Semester, 2022 Ongoing, NIT Silchar

CERTIFICATION Course/ Winter School/ Summer School

  • Successfully Participated Summer School on “Quantum information and Quantum Technology 2022” during June-July, 2022 at IISER, Kolkata. 
  • Completed Certificate Course on “Intro Robotics Developer Course – Using ROS in Python“, Udemy, Dec 5, 2021
  • Completed Certificate Course on “The Complete Wireshark Course: Go from Beginner to Advanced!“, Udemy, Aug 04, 2020
  • Completed Certification Course on “Ethical Hacking: Network Scan by Nmap & Nessus“, Udemy, Aug 22, 2020.
  • Completed Certification Course on “50 Courses in 1: Online Business & Digital Marketing Updated“, Udemy, May 01, 2020.
  • Completed Certification Course on “Blockchain Programming“, Udemy, May 07, 2020

EXPERT TALK

8. “Math Information Retrieval“, Expert Lecture, Assam University, Department of Computer Science & Engineering, 14/02/2022.

7. “Role and applications of Natural Language Processing in Cybersecurity“, Expert Lecture,  AICTE sponsored Faculty Development Program (Online), Department of CSE, School of Technology, GITAM UNIVERSITY, 09/12/2021.

6. “Machine Learning for Societal Issues“, Expert Lecture, AICTE sponsored Faculty Development Program (Online), School of Computer Science, UPES, Dehradun, India, 23/11/2021

5. “Deep Learning for Machine Translation” at Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida through online, 29/06/2021.

4. “Natural Language Processing Trends and Machine Translation: Past, Present, and Future“, at Intelligent Data Analytics (IDA) Lab, IIR4.0, UKM Malaysia, through online, 23/03/2021.

3. “Emerging Technologies: Natural Language Processing & Artificial Intelligence“, at The Institution of Engineers (India), SILCHAR LOCAL CENTRE, 10/11/2020.

2. “Machine Translation Overview: PAST -> PRESENT -> FUTURE“, at National Institute of Technology Rourkela, 16/10/2020. Report Here

1. “Hands-on Practical Session on Machine Translation“, at National Institute of Technology Rourkela, 17/10/2020.


STUDENT GUIDANCE

PhD (guiding students of NIT Silchar, other NITs, and Universities)  

PhD: 04 (Completed), 09 (Ongoing)

NIT Silchar PhD Students:

Category-A (Full Time)

Sl No Name Title Role Duration Institute Status
1 Pankaj Kundan Dadure Design and Implementation of Formula Embedding Techniques for Mathematical Information Retrieval Supervisor 2019-2022 NIT SIlchar Completed (28.11.2022)
2 Sahinur Rahman Laskar A Low Resource Language Pair Translation based on Statistical and Neural Machine Translation Approaches  Supervisor 2019-now NIT Silchar Ongoing  (Synopsis Completed)
3 Advaitha Vetagiri Adversarial Attacks on Deep Learning Models in Natural Language Processing  Supervisor  2021-now NIT Silchar  Ongoing 
4 Shyambabu Pandey Quantum Machine Learning for Natural Language Processing Applications   Supervisor  2021-now  NIT SIlchar Ongoing

Category-B (Part Time)

Sl No Name Title Role Duration Institute Status
1 Ravi Gorli Machine Translation Supervisor 2021-now NIT Silchar Ongoing

Other institute PhD Students:

Sl No Name Title Role Duration Institute
1 Ms. Vanlalmuansangi Khenglawt Machine Translation: English <-> Mizo Jt. Supervisor 2020 – now Mizoram University
2 Mr. Morrel V.L Nunsanga Analysis of POS tagging for Mizo Language Jt. Supervisor 2018- now Mizoram University
3 Ms. Sunita Warji POS tagging for Khasi Language Jt. Supervisor 2017 –  2022 (Completed) North-Eastern Hill University, Meghalaya
4 Mr. Amarnath Pathak Addressing the Challenges in Mathematical Information Retrieval from Scientific Documents Co-Supervisor 2017- 2021 (Completed) NIT Mizoram
5 Mr. Goutam Majumder Deep Interpretable Semantic Textual Similarity (DeepiSTS) Co-Supervisor Sept, 2017- Sept, 2021(Completed) NIT Mizoram
6 Mr. Sandeep Kumar Dash Spatial Information Extraction from Text Using Image Co-Supervisor Sept, 2015- Jun, 2021(Completed) NIT Mizoram
7 Ms. Ranjita Das Development of Some Clustering Techniques using Swarm and Evolutionary Computations Co-Supervisor 2018 (Completed) NIT Mizoram

Looking for PhD Student in the Domain of Machine Learning, Natural Language Processing like Healthcare domain ChatBot, Text Summarization, Music Generation, Machine Translation, Fake News Detection, Cooking Recipe Identification etc.

MTech (PG) Thesis Guided:

  • Shayak Chakraborty (He/ Him), “Abstractive Text Summarization and Sematic Summary Evaluation“, July, 2022 – Now (Ongoing), 
  • Tawmo (She/Her), “Text Summarization Evaluation“, July, 2021 – June, 2022(Completed), International Student 
  • Gebreerufael Wondie (He/Him), “Amharic <->English: Neural Machine Translation“,  July, 2020 – May, 2021 (Completed), International Student
  • Vikrant Rajput (He/him), M.Tech Thesis Title “Multi-Input Neural Abstractive Text Summarization with Multi-Objective, July, 2019 – June, 2020 (Completed

BTech (UG) Thesis Guided:

  • Rajdeep Paul, Samudranil Dutta, Battula Veeranjaneyulu Chowdary, “Multilingual News Article Similarity”, Aug, 2022 – Now (Ongoing).
  • Rishu Kumar Darsh, Kumar Kaushik, Joya Chakroborty, “Deep Text Summarization and Semantic Evaluation”,  Aug, 2022 – Now (Ongoing).
  • Tushar Skachan, Neha kumari, Nihar Jyoti Basisth, “Quantum Machine Learning for Natural Language Processing Applications”, Aug, 2022 – Now (Ongoing).
  • Prateek Mishra, Devi Prasad Upadhyay, KVN Pranav, Sri Harsha Medisetti, Nirmita Biswas, “Medicbot: A Healthcare Conversational AI”, 2021-2022 (Completed) – funded by ARTPARK, IISc Bangalore
  • Abdullah Khilji, Utkarsh Singh, Pintu Singh, Adnan Ali:  Title: Multimodal based Abstractive Summarization” (2020-2021) (Completed)
  • Abinash Dutta and Manish Kumar, Puja Jain and Sharath  Chandra Punna, Title: “DeNImaC: Deep Neural Image Captioning” (July, 2019- June, 2020) (Completed)
  • Mr. Nayan Jyoti Bayan, Mr. Sandeep Sarmah, Mr. Prantik Sarmah, Mr. Samannay Mahanta. BTech Thesis Entitled: “Machine Translation from Assamese to English based on Statistical and Neural Networks“, BTech (CSE) 7th Semester at NIT Silchar (2018 – 2019). (Completed)
  • Mr. Jereemi Benthem, BTech Thesis Entitled: “Machine Translation from English to Mizo Language“, BTech (CSE) at NIT Mizoram, 2017. [Research papers during UG: 04 (including Springer, IEEE with impact factor journal)]. (Completed)
  • Mr. Divyanshu Bhardwaj, BTech Thesis Entitled: “An Approach to Information Retrieval from Scientific Documents”, BTech (CSE) at NIT Mizoram, 2017. Research papers during UG: 03 (including Springer, IEEE). (Completed)
  • Mr. Bikram Das, BTech Thesis Entitled: “Natural Language to Virtual Actions”, BTech (CSE) at NIT Mizoram, 2016.  (Completed)
  • Mr. Prashant Ranjan, BTech Thesis Entitled: “Textual Entailment using Lexical and Syntactic Similarity”, BTech (CSE) at NIT Mizoram, 2016. (Completed)
  • Mr. Priyanshu Kumar, BTech Thesis Entitled: “Textual Entailment using Semantic Similarity”, BTech (CSE) at NIT Mizoram, 2016. (Completed)

BTech (UG) Others:

  • Jyotisman Borah,  BTech 5th Semester – CSE, Aug 2020 -, Healthcare ChatBot Application/ Sentiment Analysis
  • Swagat Shubham Bhuyan, BTech 5th Semester – CSE, Aug 2020 -, Chat Topic Extraction/ Sentiment Analysis
  • Saranga K. Mahanta, BTech 5th Semester – ECE, Aug 2020 -, Chat Topic Extraction/ Musical Instrumentation Identification. Sentiment Analysis
  • Abdullah Khilji, BTech 7th Semester, Nov 2019 – 2021, TeamHealthcareAI – Automated ChatBot System, Machine Translation, Recipe QA.

 

I’m looking for undergraduate (BTech any semester), masters (MTech any semester), and Ph.D. students of NIT Silchar to work on Natural Language Processing, Deep Learning, and NLP in Cyber Security research with me.

Just drop an email partha[-AT-]cse.nits.ac,in.

Note: Please do not send any summer/ winter internship requests through email. I am unable to respond to them personally.


Intern Student  

  • Satyendra Nath Bose Summer Internship Program 2021: Summer, 2021 (completed)
    • Prateek Mishra, Devi Prasad Upadhyay, KVN Pranav, Deepjoy dey, Sri harsha Medisetti
    • Punyabrat Saikia, Angshuman Sarma, Mahaboob Shariff, Nikita Saikia
    • Swagat Shubham Bhuyan, Saranga Kingkor Mahanta
    • Jyotisman Borah, Debajit Bora
    • Abhishek Kumar Thakur, Manisha Beriya, Rohit Raj
    • Nirmita Biswas, AAYUSH JALAN, Pranjit Gautam, Siddharth Paudwal
    • Kimtiraj Handique, Bhaskar Jyoti Bordoloi, Md Sarwar Ahmed
  • Summer Research Intern (June-July, 2020) –  Afzalur Rahaman Choudhury, Salman Barbhuiya, PLABAN BORGOHAIN, Shiva Das (Assam University), Healthcare ChatBot System. (Team Lead: Abdullah Khilji) (Completed)
  • Satashree Roy, Prabhakar Kumar (CSE, NIT Silchar) on Caption Generation – Hindi & Bengali  (Team Lead: Abdullah Khilji)
  • Summer Research Intern (May-July, 2020) – Suvamkar Paul, Jahnu Sarmah (ECE, NIT Silchar) on NLP based Caption Generation – Hindi (Team Lead: Abdullah Khilji)

Team PredictionbasedAlgorithm:


INDEX as on 02/11/2020 

  • Google Scholar h-index: 17 (Click Here) [1135 citation in google scholar]
  • Scopus h-index: 11 (Click Here)  [109 research articles reported, 403 citation in Scopus]
  • Research Gate: h-index 11, RG-Score: 26.22,  (Click Here)
  • DBLP – Computer Science Bibliography: 65 research articles reported (Click here)
  • Microsoft Academic: 55 Articles, 306 Citations (Click here)
  • Web of Science (h-index): 04 (Click Here), Web of Science ResearcherID  H-7805-2012 (Click Here)
  • Vidwan ID: 109258, h-index: 06,  (Click Here)
  • ORCID:

REVIEWER – Books, Journals & Conferences 

  • Book review – Cambridge University Press India 
  • ACMSE 2021, TPC
  • LKE 2021, TPC
  • CHSN 2021, TPC
  • INDICON 2021, TPC
  • RANLP 2021, Programme Committee, 
  • Knowledge-Based Systems (KNOSYS) Journal
  • Book Reviewer – Universities Press
  • IEEE Access Journal (Click  Here)
  • Language Resources and Evaluation (LREV) Journal (Click Here)
  • 7th International Symposium on Language & Knowledge Engineering (LKE 2019)
  • Heliyon (Click Here)
  • SADHANA (Click Here)
  • Transactions on Asian and Low-Resource Language Information Processing (TALLIP) (Click Here)
  • Natural Language Engineering (Click Here)
  • 6th International Symposium on Language & Knowledge Engineering (LKE 2018)
  • The Fifteen International Conference on Natural Language Processing (ICON-2018)
  • 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE-2018)
  • International Conference on Advances in Computing and Data Science (ICACDS 2018)
  • Fourth International Conference on Information Retrieval and Knowledge Management (CAMP’18)
  • Many More … Will update soon.

EXTERNAL EXPERT – NATIONAL/ INTERNATIONAL

  • PhD Thesis Evaluator – 2022 
  • External Expert for MTech (CSE) Thesis Viva at NIT Jamshedpur, May 2022.
  • External Expert for MTech (CSE) Thesis Viva at NIT Jamshedpur, May 2021.
  • External Expert for M.E. (CSE), MTech (CSE), MCA Thesis Viva at Jadavpur University, Aug-Sept, 2020
  • Independent External Experts – evaluate the research proposals, COST Association, Avenue Louise 149 1050 Brussels, Belgium.
  • International Expert for Research Project Reviewer for Russian Science Foundation, Russian Science Foundation (RSF). (ACTIVE)
  • External Expert for M.E. Thesis Viva and MCA Project Viva at Jadavpur University, Kolkata on June 20, 2019
  • External Examiner for Final Year B.Tech. (CSE) at NIT Agartala on May 09-10, 2016
  • External Expert for Final Year M.E. (CSE) Thesis Viva-Voce at Jadavpur University on June 12, 2017

MEMBERSHIP – PROFESSIONAL BODIES 


No. of Conferences/Symposium/Seminar/Workshop/STTP Organized 

Sl No Name of Program Duration Sponsoring Agency Organizing committee / Institution Role
1 Introduction to Robot Operating System“- Prof. David Pinto, BUAP, Mexico March 01-10, 2016 GIAN, MHRD (Govt. of India) NIT Mizoram Coordinator
2 Natural Language Processing and Sentiment Analysis“- Prof. Alexander Gelbukh, CIC-IPN, Mexico Aug 01-10, 2016 GIAN, MHRD (Govt. of India) NIT Mizoram Coordinator
3 Deep Learning for Natural Language Processing“- Prof. Benoit Favre, AIX, France Feb 20-26, 2017 GIAN, MHRD (Govt. of India) NIT Mizoram Coordinator
4 Deep Learning Techniques & Tools: An Academic and Industrial Approach 08-12 April, 2019 TEQIP-III NIT Silchar NIT Silchar Coordinator
5 International Conference on Big Data, Machine Learning and Applications (BigDML 2019) Dec 16-19, 2019 TEQIP-III, SERB, NIT Silchar NIT Silchar Publicity Chair
6 International Conference on Modeling, Simulation and Optimization 2020 (CoMSO 2020)  Aug 03-05, 2020 NIT Silchar NIT Silchar Publicity Chair, Session COordinator
7 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020)  26-28 August 2020 NIT Silchar NIT Silchar Publicity Chair
8 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020)  08-09 October 2020 - NIT Silchar Publicity Chair, Session Coordinator
9 2nd International Conference on Machine Learning, Image Processing, Network Security and Data sciences (MIND-2020) 23 – 24 April 2020 - NIT Silchar Session Coordinator
10 1st Research Conclave at NIT Mizoram 22-23 March, 2021 NIT Mizoram NIT Mizoram TRACK 1: ENGINEERING  Chair

Workshop/STTP Attended:

Sl No      Name of the Workshop/ STTP/ Webinar/ etc. Duration & Date Organizing committee / Institution
17 FDP on “Applied Artificial Intelligence”   at Centre for Development of Advanced Computing (CDAC), Noida 29/11/2021 to 03/12/2021 CDAC Noida, ATAL AICTE
16 Workshop on Grant Writing Dec 12, 2020 MoE-STARS, IISc Bangalore
15 Webinar on Higher Technical Education in Post COVID Scenario by Prof. Anil D. Sahasrabudhe June 20, 2020 NIT Silchar
14 Webinar on Outcome Based Education (OBE) by Prof. F. A. Talukdar June 19, 2020 NIT Silchar
13 Webinar on Halting the Spread of COVID-19 by Padmashree Dr. Ravi Kannan June 17,2020 NIT Silchar
12 One Week Faculty Development Programme on “Cyber Security” Oct 14-19, 2019 NIT Silchar
11 ERP Implementation SPOC Meeting Workshop at NPIU Office, Delhi Sept 05, 2019 NPIU, Delhi
10 TEQIP-III sponsored Five Days Faculty Development Programme on “Curriculum Design and Implementation for Outcome Based Education” (CuDIOBE-2019) May 27-31, 2019 NIT Silchar
9 TEQIP Phase – III : Training workshop on Web-Based Academic MIS March 15-16, 2019 IIIT Guwahati
8 Emerging Technologies, Innovation, Incubation and entrepreneurship Development  Feb 25 to  March 01, 2019 CDAC Silchar
7 Intellectual Property Rights and Technological Development (IRPD-2019) 21-25 Jan, 2019 NIT Silchar
6 Recent Research Trends & Future Perspective of Machine Learning in Academics & Industry 01-05 Oct, 2018 NIT Silchar
5 “Workshop on Outcome Based Education & Accreditation (WOBEA-2018)” 30th Sept – 1st Oct, 2018 NIT Silchar
4 Design and Deployment of Cyber Physical Systems 17-21 Sept, 2018 NIT Silchar
3  “Recent Advances in Fuzzy Optimization (RAFO-2018) 21-25 May, 2018 NIT Silchar
2 FDP on “Parallel Programming for HPC  11-16 Sept, 2017 IISc Bangalore
1 Workshop on the role of Local Chapters (NPTEL) April 21, 2017 NIT Mizoram

JOURNAL GUEST EDITOR

[CFP 1] Call for Papers: Cambridge NLE – Special Issue – “Natural Language Processing Applications for Low-Resource Languages”

We welcome papers dealing with one or more of the following topics:

  • Machine Translation for Low-Resource Languages
  • Caption Generation for Low-Resource Languages
  • POS Tagging on Low-Resource Languages
  • Optical character recognition and generation of Low-Resource Languages.
  • Chatbot assistant for Low-Resource Languages
  • Speech/Language recognition
  • Regional music identification and classification
  • Textual Entailment of Low-Resource Languages
  • Face-to-Face Translation of Low-Resource Languages
  • News/Social media analysis
  • Text prediction and suggestion
  • Sentiment analysis
  • Text classification

Important Dates

Deadline for submissions: November 30, 2022   Dec 25, 2022
First-round author notification: Between March 30, 2023 and April 30, 2023
Submission of revised versions: Between June 30, 2023 and July 30, 2023
Second-round author notification (final): Between August 30, 2023 and September 30, 2023
Camera-ready versions: Between Oct 01, 2023 and Oct 30, 2023

Submissions

Instructions for preparing your manuscript for the Journal of Natural Language Engineering are available here.

Please submit your article through the NLE manuscript submission system. When submitting your manuscript, please select Natural Language Processing Applications for Low-Resource Languages in the field Special Issue Designation.

Guest Editors

Dr. Partha Pakray, National Institute of Technology Silchar
Prof. Alexander Gelbukh, Instituto Politécnico Nacional, Mexico City, Mexico
Prof. Sivaji Bandyopadhyay, National Institute of Technology Silchar

[CFP 2] Call for Papers: Low Resource Machine Learning Algorithms (LR-MLA)     

Topics
Relevant topics include but are not limited to:
    Low resource Natural Language Processing
    Low resource Data Communication
    Low resource Image Processing
    Low resource in Agriculture domain
    Low resource in Healthcare domain
    Low resource data science and analytics
    Low resource IoT systems

Important dates:
Submission Date: 31.12.2021   31.01.2022 07.02.2022
Desk Rejection: 15.01.2022
First Round Decision: 15.03.2022
Revised Submission: 30.04.2022
Final Decision: 31.05.2022

.Link Here: Click Here


Shared Task Challenge – TextSumEval’2022

Text Summary Evaluation by Semantically 

Important Dates:
Task Registration: 14 March, 2022
Data Released: 01 April, 2022
Registration Closed: 30 April, 2022 Data Released
Result Submission: 30 May, 2022
Result Declaration: 15 June, 2022
Working note submission: 25 June, 2022

RESEARCH PAPERS/ PATENT

|| Copyright||
1 ||  Dataset: “Khasi Part-of-Speech(POS) Corpus”- Diary No. 16399/2022-CO/A, Copyright Govt. of India

|| Patent ||

1 || “A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE” - German Utility Patent, 18 July 2022 (****GRANTED****)
2 ||SYSTEM FOR THE PREPARATION AND STUDY OF AN ENGLISH-MIZO CORPUS BY FINDING TONAL WORDS“, – German Utility Patent,03 August, 2022 (****GRANTED****)
3 ||A System on Answering Questions and Recommending Recipes based on Ingredients”, – German Utility Patent,08 September, 2022 (****GRANTED****)
4 || “A system for developing part-of-speech (POS) tagging under Using deep learning based approaches on the Khasi POS corpus” – German Utility Patent, Oct 01, 2022 (****GRANTED****)
5 || “Efficacy of Formula Representation and Ranking for Mathematical Information Retrieval” – German Utility Patent, Oct 01, 2022 (****In Process****)
|| Transaction Articles ||
2 || Sunita Warjri, Partha Pakray, Arnab Kumar Maji and Saralin Lyngdoh. “Part-of-Speech (POS) tagging using Deep Learning-based approaches on the Designed Khasi POS Corpus“, In: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 21, Issue 3, May 2022, Article No.: 63, pp 1–24, https://doi.org/10.1145/3488381.  Impact Factor: 1.4 (Q3 in SJR citation index)  [2022]
1 || Candy Lalrempuii, Badal Soni and Partha Pakray. “An Improved English to Mizo Neural Machine Translation“,  In: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), May 2021 Article No.: 61, https://doi.org/10.1145/3445974. Impact Factor: 1.4 (Q3 in SJR citation index) [2021]
|| Book Chapters ||
7 ||  Chapter:  “AI Chatbots in Healthcare Services“: Pankaj Dadure, Partha Pakray, Riyanka Manna, Thipendra P Singh – In book chapter to the book of “Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem”, it will be published by Taylor & Francis Group USA. (Accepted) [2022]
6 ||  Chapter: “Efficacy of Ontology based Healthcare Chatbot System“: Prottay Kumar Adhikary, Riyanka Manna and Partha Pakray – In book chapter to the book of “Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem”, it will be published by Taylor & Francis Group USA. (Accepted) [2022]
5 || In Chapter 148: “Challenges and Opportunities in Knowledge Representation and Reasoning“, Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay , In the book: Encyclopedia of Data Science and Machine Learning, IGI Global, DOI: 10.4018/978-1-7998-9220-5 ISBN13: 9781799892205 [2022].
4 || In Chapter 5: “Mathematical Information Retrieval: Trends and Techniques“, Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay. In the book, “Deep Natural Language Processing and AI Applications for Industry 5.0” – IGI Global, DOI: 10.4018/978-1-7998-7728-8, June 2021 [2021]
3 || In Chapter 3:  “Game Based Learning: A Future Research Agenda“, Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay. In the book, “Machine Learning Approaches for Improvising Modern Learning Systems” – IGI Global, DOI: 10.4018/978-1-7998-5009-0, Pp 50-71, May 2021  [2021]
2 || In Chapter 6: “HealFavor: Machine Translation Enabled Healthcare Chat Based Application“, Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray et al., Book Name: CRC Press (Taylor & Francis Group) on “Natural Language Processing in Healthcare: A Special Focus on Low Resource Language”, eBook ISBN9781003138013[2021]
1 || In Chapter 3: Heal Favor: A Chatbot Application in Healthcare“, Abdullah Faiz Ur Rahman Khilji, Sahinur Rahman Laskar, Partha Pakray et al.  Book Name: CRC Press book on “Analysis of medical modalities for improved diagnosis in modern healthcare”, ISBN 9780367705367, August 13, 2021, Forthcoming by CRC Press [2021]

|| Journal Articles ||

41 || Sahinur Rahman Laskar, Riyanka Manna, Partha Pakray and Sivaji Bandyopadhyay, “A Domain Specific Parallel Corpus and Enhanced English- Assamese Neural Machine Translation”, In Computación y Sistemas, Vol. 26, No. 4, 2022, doi: 10.13053/CyS-25-4-4044 (ESCIScopus Indexed) (Q4 in SJR citation index) (Accepted) [2022]
40 || Dipanwita Debnath, Ranjita Das, Partha Pakray, “Single document text summarization addressed with a cat swarm optimization approach“, Applied Intelligence, Springer (Accepted) (SCIE Impact Factor 5.086) [2022]
39 || Amika Achom, Ranjita Das and Partha Pakray, “An improved Fuzzy based GWO algorithm for predicting the potentiate host receptor of COVID-19 infection“, In Computers in Biology and Medicine, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2022.106050, SCIE Impact Factor: 6.69 [2022]
38 || Prottay Kumar Adhikary, Pankaj Dadure, Pradipta Saha, Tawmo Tawmo and Partha Pakray, “Dzongkha Handwritten Digit Recognition using Machine Learning Techniques“, in Procedia Computer Science Journal, Elsevier (ACCEPTED) [2022]
37 || Sahinur Laskar, Bishwaraj Paul, Partha Pakray and Sivaji Bandyopadhyay, “English-Assamese Multimodal Neural Machine Translation using Transliteration-based Phrase Augmentation Approach“, in Procedia Computer Science Journal, Elsevier (Accepted) [2022]
36 || Dipanwita Debnath, Ranjita Das, Partha Pakray, Ruzina Laskar, Extractive Single Document Summarization using Adaptive Binary Constrained Multi-objective Differential Evaluation“, Innovations in Systems and Software Engineering Journal, Springer , SN 1614-5054, 10.1007/s11334-022-00474-2 (ESCI)  [2022].
35 || Sahinur Rahman Laskar, Abinash Gogoi, Samudranil Dutta, Prottay Kumar Adhikary, Prachurya Nath, Partha Pakray, Sivaji Bandyopadhyay, “Investigation of Negation Effect for English–Assamese Machine Translation“, Sādhanā, Indian Academy of Sciences, Indexed in Science Citation Index Expanded,  Impact Factor: 1.188 (Q2 in SJR citation index [2022].
34 || Abinash Panda, Puspa Devi Pukhrambam, Pankaj Dadure, Partha Pakray, “Application of machine learning for accurate detection of hemoglobin concentrations employing defected 1D photonic crystal“, Silicon, Springer (2022), (Q2 in SJR citation index) (SCIE indexed, Impact Factor: 2.67)  [2022].
33 || Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay. “A Formula Embedding Approach for Semantic Similarity and Relatedness Between Formulas“, In Concurrency and Computation: Practice and Experience, April 2022 (SCIE indexed, Impact Factor: 1.55),  [2022]
32 || Vanlalmuansangi Khenglawt , Sahinur Rahman Laskar , Partha Pakray, Ajoy Kumar Khan,Machine Translation for Low-Resource English–Mizo Pair Encountering Tonal Words“, In Computación y Sistemas, Vol. 26, No. 3, 2022, doi: 10.13053/CyS-25-4-4044 (ESCIScopus Indexed) (Q4 in SJR citation index) (Accepted) [2022]
31 || Sunita Warjri, Partha Pakray, Saralin A. Lyngdoh, and Arnab Kumar Maji,Identification of POS Tags for the Khasi Language based on Brill’s Transformation Rule-Based Tagger“, In Computación y Sistemas, Vol. 26, No. 2, 2022, pp. 989–1005 doi: 10.13053/CyS-26-2-4058 (ESCIScopus Indexed) (Q4 in SJR citation index)  [2022]
30|| C. Lallawmsanga, Morrel VL Nunsanga, Partha Pakray, Lolit Kumar Singh, “POS tagging for Mizo language : Unique features and challenges“, Mizo Studies, Vol. X, Issue No. 1, ISSN : 2319-6041, Pp 76-90 [2021]
29 || Morrel Vl Nunsanga, Partha Pakray, C. Lallawmsanga and L. Lolit Kumar Singh, Part-of-Speech Tagging for Mizo Language Using Conditional Random Field“, In Computación y Sistemas, Vol. 25, No. 4, 2021, pp. 803–812 doi: 10.13053/CyS-25-4-4044 (ESCI, Scopus Indexed) (Q4 in SJR citation index) [2021]
28 || Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray, Sivaji Bandyopadhyay, “Improved Neural Machine Translation for Low-Resource English-Assamese Pair“, Journal of Intelligent & Fuzzy Systems, pp. 1-12, doi: 10.3233/JIFS-219260,  Impact Factor: 1.851(Q2 in SJR citation index) [2021]
27 || Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay. “MathUSE: Mathematical Information Retrieval System using Universal Sentence Encoder Model“, Journal of Information Science, March 2022 (SCIE indexed, Impact Factor: 3.282),  (Q1 in SJR citation index) [2021]
26 || Goutam Majumder, Vikrant Rajput, Partha Pakray, Sivaji Bandyopadhyay and Benoit Favre,Text Summary Evaluation based on interpretable Semantic Textual Similarity“, in: Multimedia Tools and Applications, Springer (Minor revision, Impact Factor: 2.757) (Q1 in SJR citation index) [2021]
25 || Dipanwita Debnath, Ranjita Das and Partha Pakray, “Extractive Single Document Summarization using Modified Cat Swarm Optimization Approach: ESDS-MCSO, in Journal: Neural Computing and Applications. (Accepted, Impact Factor: 5.6) (Q1 in SJR citation index) [2021]
24 || Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay. Embedding and Generalization of Formula with Context in the Retrieval of Mathematical Information“, Journal of King Saud University – Computer and Information Sciences (SCIE indexed, Impact Factor 13.473), ISSN: 1319-1578 (Q1 in SJR citation index) [2021]
23 || Saranga Kingkor Mahanta, Abdullah Faiz Ur Rahman Khilji, Partha Pakray, “Deep Neural Network for Musical Instrument Recognition Using MFCCs“, Computación y Sistemas, Vol. 25, No. 2, 2021, pp. 351–360 doi: 10.13053/CyS-25-2-3946 (ESCI, Scopus Indexed) (Q4 in SJR citation index) [2021]
22 || Sunita Warjri, Partha Pakray, Arnab Kumar Maji and Saralin Lyngdoh. “Parts-of-Speech (POS) Tagging using Conditional Random Field (CRF) Model for Khasi corpora“, International Journal of Speech Technology, Springer, https://doi.org/10.1007/s10772-021-09860-w (Q2 in SJR citation index) (2021).
21 || Amarnath Pathak, Riyanka Manna, Partha Pakray, Dipankar Das, Alexander Gelbukh and Sivaji Bandyopadhyay, “Scientific Text Entailment and a Textual Entailment based Framework for Cooking Domain Question Answering”, Sādhanā Springer Journal, 46, Article number: 24 (2021), Indian Academy of Sciences, Indexed in Science Citation Index – Expanded, doi: 10.1007/s12046-021-01557-9, Impact Factor: 1.188 (Q2 in SJR citation index) (2021).
20 || Abdullah Khilji, Riyanka Manna, Sahinur Laskar, Partha Pakray, Dipankar Das, Sivaji Bandyopadhyay, Alexander Gelbukh. “CookingQA: Answering Questions and Recommending Recipes based on Ingredients“, Arabian Journal for Science and Engineering, Springer, Impact Factor: 2.334, SCIE.  (Q2 in SJR citation index) (2021)
19 || Goutam Majumder, Partha Pakray, Ranjita Das and David Eduardo Pinto Avendaño, “Interpretable Semantic Textual Similarity of sentences using alignment of chunks with Classification and Regression“, Applied Intelligence (The International Journal of Research on Intelligent Systems for Real Life Complex Problems) (Published online: 08/03/2021, Springer, Impact Factor: 5.086) (Q2 in SJR citation index) (2021)
18 || Sandeep Kumar Dash, Y. V. Sureshchandra, Yatharth Mishra, Partha Pakray, Ranjita Das, Alexander Gelbukh. “Multimodal Learning Based Spatial Relation Identification“, Computación y Sistemas – Journal, Vol. 24, No. 3, 2020,  (ESCI, Scopus Indexed) (Q4 in SJR citation index) (2020)
17 || Abdullah Khilji, Riyanka Manna, Sahinur Laskar, Partha Pakray, Dipankar Das, Sivaji Bandyopadhyay, Alexander Gelbukh. “Question Classification and Answer Extraction for Developing a Cooking QA System“, Computación y Sistemas – Thematic Issue on Language & Knowledge Engineering (Guest editors: D. Pinto, B. Beltrán, A. Vázquez), Vol. 24, No. 2, 2020,  (ESCI, Scopus Indexed) (Q4 in SJR citation index) (2020)
16 || Amarnath Pathak, Partha Pakray and Ranjita Das. Context guided retrieval of math formulae from scientific documents“, In: Journal of Information and Optimization Sciences,  Volume 40, 2019 – Issue 8, Taylor & Francis  (ESCI, Web of Science) (2020)
15 || Amarnath Pathak, Ranjita Das, Partha Pakray and Alexander Gelbukh. “Extracting context of math formulae contained inside scientific documents”, Computación y Sistemas – Thematic issue: Computational Linguistics, Vol. 23, No. 3, 2019, pp. 803–818 doi: 10.13053/CyS-23-3-3246. (ESCI, Scopus Indexed) (Q4 in SJR citation index) (2019)
14 || Sunita Warjri, Partha Pakray, Arnab Kumar Maji and Saralin Lyngdoh. “Identification of POS Tag for Khasi Language based on Hidden Markov Model POS Tagger“, Computación y Sistemas – Thematic issue: Computational Linguistics, Vol. 23, No. 3, 2019, pp. 795–802 doi: 10.13053/CyS-23-3-3248 (ESCI, Scopus Indexed) (Q4 in SJR citation index) (2019)
13 ||  Sandeep Kumar Dash, Shantanu Acharya, Partha Pakray, Ranjita Das and Alexander Gelbukh, “Topic Based Image Caption Generation“, Arabian Journal for Science and Engineering, Online ISSN: 2191-4281, Publisher Name: Springer Berlin Heidelberg, pp 1-10, DOI: https://doi.org/10.1007/s13369-019-04262-2, SCIE Impact Factor 2.334(Q2 in SJR citation index)(2019)
12 ||  Sunita Warjri, Partha Pakray, Saralin Lyngdoh, Arnab Kumar Maji, “Khasi Language as dominant Part-Of-Speech (POS) ascendant in NLP“, International Journal of Computational Intelligence & IoT, Vol. 1, No. 1, ISSN: 1556-5068, Pp. 109-115, 2018. (First online 20 Mar 2019)  [SSRN indexed] (2019)
11 || Amarnath Pathak and Partha Pakray. “Binary Vector Transformation of Math Formula for Mathematical Information Retrieval“, Journal of Intelligent & Fuzzy Systems, Vol 36, Issue 5, pp. 4685-4695, 2019, DOI: 10.3233/JIFS-179018, a JCR-THOMPSON journal with impact factor of 1.851 (Q2 in SJR citation index) (2019)
10 || Sandeep Kumar Dash, Saurav Saha, Partha Pakray and Alexander Gelbukh. “Generating Image Captions Through Multimodal Embedding“, Journal of Intelligent and Fuzzy Systems, Vol 36, Issue 5,  pp. 4787-4796, DOI: 10.3233/JIFS-179027, a JCR-THOMPSON journal with impact factor of 1.851   (Q2 in SJR citation index) (2019)
9 ||  Goutam Majumder, Partha Pakray and David Eduardo Pinto Avendaño. “Measuring interpretability using a token to chunk multi aligner“, Journal of Intelligent and Fuzzy Systems, Vol 36, Issue 5, pp. 4797-4808, DOI: 10.3233/JIFS-179028, a JCR-THOMPSON journal with impact factor of 1.851  (Q2 in SJR citation index) (2019)
8 || Amarnath Pathak, Partha Pakray, Alexander Gelbukh. “A Formula Embedding Approach to Math Information RetrievalComputación y Sistemas Journal, Vol. 22, No. 3, 2018, pp. 819–833 doi: 10.13053/CyS-22-3-3015, ISSN: 2007-9737. (ESCI, Scopus  Indexed(Q4 in SJR citation index) (2018)
7 || Amarnath Pathak, Partha Pakray. “Neural Machine Translation for Indian Languages, Journal of Intelligent Systems (JISYS), DOI: https://doi.org/10.1515/jisys-2018-0065. [Emerging Sources Citation Index – by Thomson Reuters, Elsevier – SCOPUS, SCImago Journal Rank (SJR) 2017: 0.193] (Q1 in SJR citation index) [2018]
6 || Amarnath Pathak, Partha Pakray, Jereemi Bentham. “English-Mizo Machine Translation using Neural and Statistical Approaches“, Neural Computing and Applications, Volumes 30, Issues 169, pp 1–17, First Online: 30 June 2018. [SCI Indexed – Impact Factor: 4.213] (Q1 in SJR citation index)  [2018]
5|| Amarnath Pathak, Partha Pakray, Sandip Sarkar, Dipankar Das and Alexander Gelbukh, “MathIRs: Retrieval System for Scientific Documents”, Computación y Sistemas – Thematic issue: Authorship Analysis (Guest editors: M. Montes, L. Villaseñor), Vol 21, No 2, pp. 253–265, ISSN: 2007-9737 [ESCI, Scopus indexed] (Q4 in SJR citation index)  [2017]
4|| Sriparna Saha, Ranjita Das, Partha Pakray“Aggregation of multi-objective fuzzy symmetry-based clustering techniques for improving gene and cancer classification”, Soft Computing, ISSN 1433-7479, DOI 10.1007/s00500-017-2865-3, pp. 1-20, 29/10/2017 [SCI indexed, Impact Factor 3.643] (Q2 in SJR citation index)  [2017]
3|| Goutam Majumder, Partha Pakray, Alexander Gelbukh and David Pinto. “ Semantic Textual Similarity Methods, Tools, and Applications: A Survey“, Computación y Sistemas – Thematic Issue: Research Advances and Applications of Evolutionary Computation (Guest Editors: H.J. Escalante, M. Graff), Vol. 20, No. 4, 2016, pp. 647–665 doi: 10.13053/CyS-20-4-2506 doi: 10.13053/CyS-20-3-2450. [ESCI, Scopus indexed] (Q4 in SJR citation index)  [2016]
2 || Sandeep Kumar Dash, Partha Pakray and Alexander Gelbukh. “Learning Physiotherapy through Virtual Action“, Computación y Sistemas – Thematic Issue: Natural Language Processing and Computational Linguistics (Guest Editor: Alexander Gelbukh), Vol. 20, No. 3, 2016, pp. 477–482 ISSN 1405-5546 doi: 10.13053/CyS-20-3-2450. [ESCI, Scopus indexed] (Q4 in SJR citation index)  [2016]
1 || Rohini Basak, Sudip Kumar Naskar, Partha Pakray, Alexander Gelbukh. “Recognizing Textual Entailment by Soft Dependency Tree Matching“, Computación y Sistemas, Vol. 19, No. 4, 2015, pp. 685–700, ISSN 1405-5546, doi: 10.13053/CyS-19-4-2331. [ESCI, Scopus indexed] (Q4 in SJR citation index)  [2015]
Many More … Will update soon.
|| International Conferences/ Working Notes/ Workshop Papers ||
Year: 2020-2021-2022
90 || Sahinur Rahman Laskar, Rahul Singh, Abdullah Faiz Ur Rahman Khilji, Riyanka Manna, Partha Pakray and Sivaji Bandyopadhyay, “CNLP-NITS-PP at WANLP 2022 Shared Task: Propaganda Detection in Arabic using Data Augmentation and AraBERT Pre-trained Model”, in the proceedings of WANLP 2022 (Accepted) [2022]
89 || Sahinur Rahman Laskar, Rahul Singh, Shyambabu Pandey, Riyanka Manna, Partha Pakray, Sivaji Bandyopadhyay, “CNLP-NITS-PP at MixMT 2022: Hinglish–English Code-Mixed Machine Translation”, MixMT shared-task at WMT 2022.  [2022]
88 || Prachurya Nath, Prottay Kumar Adhikary, Pankaj Dadure, Partha Pakray, Riyanka Manna and Sivaji Bandyopadhyay, “Image Caption Generation for Low-Resource Assamese Language“. The 34TH CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING November 21 – 22, 2022. (Accepted) [2022]
87 || Shyambabu Pandey, Pankaj Dadure, Morrel V. L. Nunsanga, Partha Pakray, “Parts of Speech Tagging Towards Classical to Quantum Computing“, Track 5: Artificial Intelligence, Data Science & Computing, IEEE SILCON 2022, 4-6 November 2022, National Institute of Technology Silchar. (Accepted) [2022]
86 || Vanlalmuansangi Khenglawt, Sahinur Rahman Laskar, Riyanka Manna, Partha Pakray and Ajoy Kumar Khan “Mizo Visual Genome 1.0: A Dataset for English-Mizo Multimodal Neural Machine Translation”, Track 5: Artificial Intelligence, Data Science & Computing, IEEE SILCON 2022, 4-6 November 2022, National Institute of Technology Silchar. (Accepted) [2022]
85 || Tamwo Tamwo, Pankaj Dadure, Prottay Kumar Adhikary, Partha Pakray, Benoit Favre, Sivaji Bandyopadhyay and Thierry Artières, “TextSumEval-2022: Overview of the Textual Summary Evaluation Task“, International Conference on Intelligent Computing Systems and Applications National Institute of Technology Silchar Confernece Date: September 23-24, 2022. (Accepted) [2022]
84 || Vanlalmuansangi Khenglawt, Sahinur Rahman Laskar, Riyanka Manna, Partha Pakray and Ajoy Kumar Khan, “Recent Trends on Low-Resource Neural Machine Translation and Research Scope for English-Mizo Pair“, International Conference on Intelligent Computing Systems and Applications National Institute of Technology Silchar Confernece Date: September 23-24, 2022. (Accepted) [2022]
83 || Advaitha Vetagiri, Pankaj Dadure and Partha Pakray, “An Analytical Study of Underlying Gender Bias in Word Embedding Techniques“, International Conference on Intelligent Computing Systems and Applications National Institute of Technology Silchar Confernece Date: September 23-24, 2022. (Accepted) [2022]
82 || Sahinur Rahman Laskar, Pankaj Dadure, Riyanka Manna, Partha Pakray and Sivaji Bandyopadhyay, “English to Bengali Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation”, The 9th Workshop on Asian Translation WAT 2022, pages 111–116 October 17, 2022 [2022]
81 || Sahinur Rahman Laskar, Riyanka Manna, Partha Pakray and Sivaji Bandyopadhyay, “Investigation of Multilingual Neural Machine Translation for Indian Languages”, The 9th Workshop on Asian Translation WAT 2022, pages 78–81 October 17, 2022 [2022]
80 || Sahinur Rahman Laskar, Rahul Singh, Md Faizal Karim, Riyanka Manna, Partha Pakray and Sivaji Bandyopadhyay, Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation”, The 9th Workshop on Asian Translation WAT 2022, pages 117–122 October 17, 2022. [2022]
79 || Sandip Sarkar, Dipankar Das, Partha Pakray, David Pinto, “Formula Retrieval Using Structural Similarity“, In CLEF 2022: Conference and Labs of the Evaluation Forum, ISSN 1613-0073, CEUR Workshop Proceedings, September 5–8, 2022, Bologna, Italy. [2022]
78 || Sahinur Rahman Laskar, Bishwaraj Paul, Partha Pakray and Sivaji Bandyopadhyay, “Improving English-Assamese Neural Machine Translation using Transliteration-based Approach“, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), NIT Mizoram, June 18 – 19, 2022. (Accepted) [Best Paper Award [2022]
77 || Vanlalmuansangi Khenglawt, Sahinur Rahman Laskar, Santanu Pal, Partha Pakray and Ajoy Kumar Khan, “Language Resource Building and English-to-Mizo Neural Machine Translation Encountering Tonal Words“, 6th Workshop on Indian Language Data: Resources and Evaluation (WILDRE), LREC 2022, pages 48–54 Marseille, 20 June 2022.  [2022]
76 || Bidisha Dutta, Shreyashi Roymedhi, Pankaj Dadure and Partha Pakray, “Gender Bias in English-Hindi Machine Translation Systems“, ICISC2022: International Conference on Intelligent Systems and Computation. (Accepted)  [2022]
75 || Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay, “MathSBERT: A Language Representation Model for Mathematical Information Retrieval“, International Conference on Computational Intelligence and Innovative Technologies (ICCIIT – 2022), April 16 & 17, 2022 – IICMR-MCA, Nigdi, Pune. (Accepted) [2022]
74 || Tawmo, Mrinmoy Borah, Pankaj Dadure and Partha Pakray, “Comparative analysis of T5 model for abstractive text summarization”, International Conference on Computational Intelligence and Innovative Technologies (ICCIIT – 2022), April 16 & 17, 2022 – IICMR-MCA, Nigdi, Pune. (Accepted) [2022]
73 || Madhura Chatterjee, Md. Arshad Ahmed, Pankaj Dadure and Partha Pakray, “Inclination of NLP Applications Towards Stereotypical and Gender Bias Results”, International Conference on Computational Intelligence and Innovative Technologies (ICCIIT – 2022), April 16 & 17, 2022 – IICMR-MCA, Nigdi, Pune. (Accepted) [2022]
72 || Md. Arshad Ahmed, Madhura Chatterjee, Pankaj Dadure and Partha Pakray, “The Role of Biased Data in Computerized Gender Discrimination”, Third Workshop on Gender Equality, Diversity, and Inclusion in Software Engineering 2022, Pittsburgh, USA, ICSE 2022 workshop, 20 May 2022. (Accepted) [2022]YouTube Linkhttps://www.youtube.com/watch?v=RquMBms7AsI&t=275s
 71 || Sunita Warjri, Partha Pakray, Arnab Kumar Maji and Saralin Lyngdoh, “Investigating Part-of-Speech Tagging in Khasi using Naïve Bayes and Support Vector Machine“, 5th International Conference on Innovative Computing and Communication (ICICC) – A Flagship Conference, Springer LNNS, 19-20th FEBRUARY, 2022 (Accepted) [2022]
70 || Prateek Mishra, Pankaj Dadure, K.V.N. Pranav, Sri Harsha Medisetti, Devi Prasad Upadhyay,  Nirmita Biswas, Partha Pakray, “Personalized Healthcare Chatbot: Dataset and Prototype System“, International Conference on Computational Intelligence in Communications and Business Analytics (CICBA 2022), CCIS Springer, Springer, DOI https://doi.org/10.1007/978-3-031-10766-5_26, Print ISBN 978-3-031-10765-8, vol 1579, pages 378-388 [2022]
69 || Prottay Kumar Adhikary, Riyanka Manna, Sahinur Rahman Laskar, Partha Pakray, “Ontology-Based Healthcare Hierarchy Towards Chatbot“, International Conference on Computational Intelligence in Communications and Business Analytics (CICBA 2022), CCIS Springer, DOI https://doi.org/10.1007/978-3-031-10766-5_26, Print ISBN 978-3-031-10765-8, vol 1579, Pp 326-335  [2022]
68 || Tawmo, Pankaj Dadure, Partha Pakray,An Empirical Analysis on Abstractive Text Summarization“, International Conference on Computational Intelligence in Communications and Business Analytics (CICBA 2022), CCIS Springer, DOI https://doi.org/10.1007/978-3-031-10766-5_26, Print ISBN 978-3-031-10765-8, vol 1579, Pp 280–287 [2022]
67 || Sandip Sarkar, Dipankar Das, Partha Pakray, David Pinto,Generating Equations form Math Word Problem using Deep Learning Approach“, International Conference on Computational Intelligence in Communications and Business Analytics (CICBA 2022), CCIS Springer, DOI https://doi.org/10.1007/978-3-031-10766-5_26, Print ISBN 978-3-031-10765-8, vol 1579, Pp 252-259 [2022]
66 || Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay, “Causal Document Retrieval: An Analytical Investigation“, Working Notes in Causality-driven Adhoc Information Retrieval Forum for Information Retrieval Evaluation (FIRE) – 2021, December 13th-17th (Virtual Event), CEUR Workshop Proceedings, Pp 1238-1245 [2021]
65 || Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay, “A Fine-tuning Retrieval System for Mathematical Information”, 7th International Conference on Mathematics and Computing (ICMC 2021), March 02- 05, 2021, Springer, Advances in Intelligent Systems and Computing book series (AISC volume 1412) (2022).
64 || Sahinur Rahman Laskar Bishwaraj Paul, Prottay Kumar Adhikary, Partha Pakray and Sivaji Bandyopadhyay, “Neural Machine Translation for Tamil-Telugu“, Proceedings of the Sixth Conference on Machine Translation (WMT), pages 284–287 November 10–11, 2021. ©2021 Association for Computational Linguistics. [2021]
63 ||  Sahinur Rahman Laskar, Bishwaraj Paul, Siddharth Paudwal, Pranjit Gautam, Nirmita Biswas and Partha Pakray, “Multimodal Neural Machine Translation for English-Assamese Pair“, 2nd IEEE IAS International Conference on Computational Performance Evaluation (ComPE-2021), pp. 387-392, doi: 10.1109/ComPE53109.2021.9752181 (2021)
62 || Amarnath Pathak, Partha Pakray and Ranjita Das, “MathIRs: A one-stop solution to several mathematical information retrieval needs“, in the 2nd International Conference on Frontiers in Computing and Systems (COMSYS-2021), Springer, vol 404. Singapore. https://doi.org/10.1007/978-981-19-0105-8_17, Pp 171–179 [2021]
61 ||  Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Darsh Kaushik, Partha Pakray, Sivaji Bandyopadhyay, “Improved English to Hindi Multimodal Neural Machine Translation“, In the Proceedings of the 8th Workshop on Asian Translation, Pp 155–160, Bangkok, Thailand (online), August 5-6, 2021.   (2021)
60 ||  Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Darsh Kaushik, Partha Pakray and Sivaji Bandyopadhyay, “EnKhCorp1.0: An English–Khasi Corpus“, In the Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021), Pp 89–95, Aug 2021. (2021)
 59 ||  Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay, “BERT-Based Embedding Model for Formula Retrieval“,  Conference and Labs of the Evaluation Forum, September 21–24, 2021, Bucharest, Romania, CEUR Workshop Proceedings  (2021)
58 || Darsh Kaushik, Abdullah Faiz Ur Rahman Khilji, Utkarsh Sinha, Partha Pakray, “CNLP-NITS @ LongSumm 2021: TextRank Variant for Generating Long Summaries, In the Proceedings of the Second Workshop on Scholarly Document Processing, pages 103–109 June 10, 2021.  (2021)
57 || Abdullah Faiz Ur Rahman Khilji, Utkarsh Sinha, Pintu Singh, Adnan Ali, Partha Pakray. “Abstractive Text Summarization Approaches with Analysis of Evaluation Techniques“,  n: Dutta P., Mandal J.K., Mukhopadhyay S. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2021. Communications in Computer and Information Science, vol 1406, Pp 243-258, Springer, Cham. https://doi.org/10.1007/978-3-030-75529-4_19. (2021)
56 || Sandip Sarkar, Dipankar Das, Partha Pakray, David Pinto. “A Hybrid Sequential Model for Text Simplification“, Advances in Power Systems and Energy Management (ETAEERE 2020). Lecture Notes in Electrical Engineering, volume 690, pp 33-42, Springer. DOI: https://doi.org/10.1007/978-981-15-7504-4_4 (2020)
55 || Morrel Vl Nunsanga, Partha Pakray, Mika Lalngaihtuaha and L. Lolit Kumar Singh, “Stochastic Based Part of Speech Tagging in Mizo Language: Unigram and Bigram Hidden Markov Model“, 26th (Virtual) annual International Conference on. Advanced Computing and Communications. (ADCOM 2020), NIT Silchar, Assam, December 16-18, 2020, LNEE,volume 869, pages=711-722 isbn=978-981-19-0019-8.  (2020).
54 || Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray and Sivaji Bandyopadhyay, “EnAsCorp1.0: English-Assamese Corpus“, Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages, pages 62–68 Decmber 04, 2020. c 2020 Association for Computational Linguistics. (2020)
See Presentation: https://www.youtube.com/watch?v=PfmFDKow9w0&feature=youtu.be
53 ||  Abdullah Faiz Ur Rahman Khilji , Sahinur Rahman Laskar, Partha Pakray and Sivaji Bandyopadhyay, “Urdu Fake News Detection using Generalized Autoregressors“, Working Notes – The 2020 Fake News Detection in the Urdu Language Task, Forum for Information Retrieval Evaluation 2020, Dec 16-20, 2020, Hyderabad, India (Accepted) (2020)
52 ||  Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay, “Mathematical Information Retrieval using Formula2Vec Approach“, 26th (Virtual) annual International Conference on. Advanced Computing and Communications. (ADCOM 2020), NIT Silchar, Assam, December 16-18, 2020, pages 349-356, isbn 978-981-19-0019-8 LNEE,volume 869. (2020).
51 || Sahinur Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray and Sivaji Bandyopadhyay, “Multimodal Neural Machine Translation for English to Hindi“, Shared Task (Working Notes) –  7th Workshop on Asian Translation (WAT 2020), Hosted by the AACL-IJCNLP 2020 (2020).
50 || Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray and Sivaji Bandyopadhyay, “Zero-Shot Neural Machine Translation: Russian-Hindi“, Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages, pages 38–42 Decmber 04, 2020. c 2020 Association for Computational Linguistics. (2020).
See Presentation: https://www.youtube.com/watch?v=po0P6_noZvE&feature=youtu.be
49 || Dipanwita Debnath, Ranjita Das, Partha Pakray, “Extractive Single Document Summarization using an Archive-based Micro Genetic-2 Algorithm“, Conference on Soft Computing & Machine Intelligence (ISCMI 2020), Stockholm, pp. 244-248, doi: 10.1109/ISCMI51676.2020.9311571, Sweden during November 14-15, 2020.  (2020)
48 || Pankaj Dadure, Partha Pakray and Sivaji Bandyopadhyay, “Preliminary Investigation on Causality Information Retrieval“, Working Notes – Causality-driven Ad hoc Information Retrieval (CAIR), Forum for Information Retrieval Evaluation 2020, Dec 16-20, 2020, Hyderabad, India CEUR Workshop Proceedings (CEUR-WS.org) (2020)
47 || Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray, Sivaji Bandyopadhyay, “Hindi-Marathi Cross Lingual Model“, Proceedings of the 5th Conference on Machine Translation (WMT), pages 394–399 Online, November 19–20, 2020. c 2020 Association for Computational Linguistics.  (2020)
46 ||  Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay, “An Analysis of Variable-Size Vector Based Approach for Formula Searching“, CLEF 2020 Working Notes Working Notes of CLEF 2020 – Conference and Labs of the Evaluation Forum Thessaloniki, Greece, September 22-25, 2020, Vol-2696, ISSN 1613-0073. (2020).
45 ||  Abdullah Faiz Ur Rahman Khilji, Sahinur Rahman Laskar , Partha Pakray et al. “HealFavor: Dataset and A Prototype System for Healthcare ChatBot“, In International Conference on Data Science, Artificial Intelligence, and Business Analytics (DATABIA), Medan, Indonesia, 2020, pp. 1-4, doi: 10.1109/DATABIA50434.2020.9190281.  (2020)
44 || Sahinur Rahman Laskar, Partha Pakray and Sivaji Bandyopadhyay, “Neural Machine Translation: Assamese↔Bengali“, in the International Conference on Modeling, Simulation and Optimization (CoMSO 2020), Springer, National Institute of Technology Silchar, August 3-5, 2020, pp 571-579, vol 206, DOI: https://doi.org/10.1007/978-981-15-9829-6_4,  (2020)
43 || Morrel VL Nunsanga, Mika Lalngaihtuaha, Partha Pakray, L. Lolit Kumar Singh, “Part of Speech Tagging in Mizo Language: A preliminary study“, in International Conference on Data Intelligence and Cognitive Informatics (ICDICI-2020) (Springer),  pp 625-635, DOI https://doi.org/10.1007/978-981-15-8530-2_498-9 July 2020 SCAD College of Engineering and Technology, Tirunelveli, India. (2020)
42 || Sunita Warjri, Partha Pakray, Saralin A Lyngdoh, Arnab Kumar Maji, “Adopting Conditional Random Field (CRF) for Khasi Parts-of-Speech Tagging (KPOST)“, In 3rd International Conference On Computing and Communication Systems,  Lecture Notes in Networks and Systems, vol 170. Springer, Singapore. https://doi.org/10.1007/978-981-33-4084-8_8 (2020)
41 || Sahinur Laskar, Partha Pakray and Sivaji Bandyopadhyay, “Neural Machine Translation for Low Resource Assamese-English“, In Proceedings of the International Conference on Computing and Communication Systems, Springer, NEHU, Shillong, India, Pages 35-44 (2020)
40 || Pankaj Kundan Dadure, Partha Pakray and Sivaji Bandyopadhyay, “Efficient Assessment of Formula Representation in Embedded Vector“, In Proceedings of the International Conference on Computing and Communication Systems, Springer, NEHU, Shillong, India, Pages 25-33  (2020)
 Year: 2019
39 || Pankaj Kundan Dadure, Partha Pakray, Sivaji Bandyopadhyay, “An Empirical Analysis on Retrieval of Math Information from the Scientific Documents“, International Conference on Communication and Intelligent System (ICCIS-2019), booktitle “Communication and Intelligent Systems”, isbn=”978-981-15-3325-9″, Pp. 301-308, doi 10.1007/978-981-15-3325-9_23, Department of Computer Science and Engineering, SKIT Jaipur.  (2019)
38 || Sahinur Rahman Laskar, Rohit Pratap Singh, Partha Pakray, Sivaji Bandyopadhyay, “English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning“, Proceedings of the 6th Workshop on Asian Translation 2019, doi 10.18653/v1/D19-5205, publisher = “Association for Computational Linguistics”, Pages 62-67 (2019)
37 || Sahinur Rahman Laskar, Abinash Dutta, Partha Pakray and Sivaji Bandyopadhyay, “Neural Machine Translation: English to Hindi“, in the Proceedings of 3rd IEEE Conference on Information & Communication Technology, IIIT Allahabad, Dec 06-09, 2019, DOI: 10.1109/CICT48419.2019.9066238, .  (2019)
36|| Amika Achom, Ranjita Das, Partha pakray, Sriparna Saha. “Classification of Microarray Gene Expression Data using Weighted Grey Wolf Optimizer based Fuzzy Clustering“, TENCON 2019, booktitle “TENCON 2019 – 2019 IEEE Region 10 Conference (TENCON)”,  Pp. 2705-2710, 17 – 20 October 2019 at Hotel Grand Hyatt, Bolgatty, Kochi, Kerala, India. (2019)
35 || Sahinur Rahman Laskar, Partha Pakray and Sivaji Bandyopadhyay “Neural Machine Translation: Hindi-Nepali“, in the Proceedings of the Fourth Conference on Machine Translation (WMT), Publisher: Association for Computational Linguistics, doi 10.18653/v1/W19-5427, Volume 2: Shared Task Papers, pages 900–905, Florence, Italy, August 1-2, 2019. [2019] Top scorer: Nepali –> Hindi Translation in the WMT 2019 Track.
34 || Dipanwita Debnath and Partha Pakray, “Scientific Documents Summarization using Citation Contextualization“, In: 1st International Conference on Recent Trends on Electronics & Computer Science (ICRTECS 2019) to be held at NIT Silchar on 18-19th March 2019. (Accepted) [2019]
33 ||  Amika Achom and Partha Pakray, “Effects of out-of-domain data on English-to-Manipuri SMT Systems“, In: 1st International Conference on Recent Trends on Electronics & Computer Science (ICRTECS 2019) to be held at NIT Silchar on 18-19th March 2019. (Accepted) [2019]
32 || Sandeep Kumar Dash, Ranjeet Kumar, Partha Pakray and Alexander Gelbukh, “Visually Aligned Text Embedding Model for Identification of Spatial Roles“, In: 1st International Conference on Recent Trends on Electronics & Computer Science (ICRTECS 2019) to be held at NIT Silchar on 18-19th March 2019. (Accepted) [2019]Best Paper Award in the Track and Overall Conference: Presented by Sandeep Kumar Dash
31 || Amarnath Pathak Partha Pakray and Ranjita Das “LSTM Neural Network Based Math Information Retrieval“, Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), Pp 1-6, IEEE, INSPEC Accession Number: 19098988, doi:10.1109/icaccp.2019.8882887, SMIT, Sikkim, India, February 25-28, 2019 [2019] Best Paper Award: Presented by Amarnath Pathak
Year: 2018
30 || Amarnath Pathak and Partha Pakray“An Improved and Intelligent Boolean Model for Scientific Text Information Retrieval”, Communications in Computer and Information Science (CCIS), Springer Singapore, booktitle Social Transformation — Digital Way, ISSN: 1865-0929, Volume 836, pages 465–476, DOI 10.1007/978-981-13-1343-1_38 [Indexed in SCImago, Scopus indexed] [2018]
29 || Partha Pakray, Goutam Majumder and Amarnath Pathak, “An HMM based POS Tagger for POS tagging of Code-Mixed Indian Social Media Text”, Communications in Computer and Information Science (CCIS), Springer Singapore, booktitle Social Transformation — Digital Way, ISSN: 1865-0929, Volume 836, pages 495–504, DOI 10.1007/978-981-13-1343-1_41 [Indexed in SCImago, Scopus indexed] [2018]
28 || Goutam Majumder, Partha Pakray, and David Eduardo Pinto Avendaño, “Interpretable Semantic Textual Similarity Using Lexical and Cosine Similarity”, Communications in Computer and Information Science (CCIS), Springer Singapore, booktitle Social Transformation — Digital Way, ISSN: 1865-0929, Volume 836, pages 717–732. DOI 10.1007/978-981-13-1343-1_59. [Indexed in SCImago, Scopus indexed] [2018]
27 || Dipanwita Debnath, Partha Pakray and Alexander Gelbukh, “An Abstractive Text Summarization using Recurrent Neural Network“, In 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), March 18 to 24, 2018 in Hanoi, Vietnam. (Accepted) [2018]
26 || Riyanka Manna, Dipankar Das, Partha Pakray and Alexander Gelbukh, “Question Answering System on Foods & Recipes“, In 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), March 18 to 24, 2018 in Hanoi, Vietnam. (Accepted)[2018]
25 || Amarnath Pathak, Partha Pakray and Alexander Gelbukh, “A Formula Embedding Approach to Math Information Retrieval“, In 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), March 18 to 24, 2018 in Hanoi, Vietnam. (Accepted)[2018]
24 || Sandeep Kumar Dash, Saurav Saha, Partha Pakray, Alexander Gelbukh, “Generating Image Captions based on Neural Embeddings“, In 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), March 18 to 24, 2018 in Hanoi, Vietnam. (Accepted) [2018]
23 || Amika Achom, Partha Pakray, “Addressing the issue of unavailability of parallel corpus incorporating monolingual corpus on PBSMT system for English to Manipuri translation“, In 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), March 18 to 24, 2018 in Hanoi, Vietnam. (Accepted) [2018]
Year: 2014-17  
22 || Somnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, “NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis“, In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), Shared Tasks, pages 180–183, Taipei, Taiwan, November 27 – December 1, 2017. [2017]
21 || Sandip Sarkar, Dipankar Das and Partha Pakray, “JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System“, In Proceedings of the 8th International Joint Conference on Natural Language Processing, Shared Tasks, pages 213–216, Taipei, Taiwan, November 27 – December 1, 2017. [2017]
20 || Sandeep Kumar Dash, Partha Pakray, Jan Smeddinck, Robert Porzel, Rainer Malaka and Alexander Gelbukh, “Designing An Ontology for Physical Exercise Actions“, 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), Springer, isbn=”978-3-319-77113-7″, doi 978-3-319-77113-7_28, Pp. 354–362, April 17 to 23, 2017, Budapest, Hungary. [2017]
19 || Divyanshu Bhardwaj, Partha Pakray, and Alexander Gelbukh, “An approach to Information Retrieval from Scientific Documents“, 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), April 17 to 23, 2017, Budapest, Hungary. (Accepted). [2017]
18 || Riyanka Manna, Partha Pakray, Somnath Banerjee, Dipankar Das and Alexander Gelbukh, “CookingQA: A Question Answering System based on Cooking Ontology“, Advances in Computational Intelligence. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Quintana Roo, Mexico, October 23 to 29, 2016. Proceedings, pp 67-78, Part I. Lecture Notes in Artificial Intelligence, Volume 10061. isbn 978-3-319-62434-1, doi 10.1007/978-3-319-62434-1_6. [2016]
17 || Goutam Majumder, Partha Pakray, “NLP-NITMZ @ MSIR 2016 System for Code-Mixed Cross-Script Question Classification“, In the Working notes of FIRE 2016 – Forum for Information Retrieval Evaluation, CEUR-WS.org/Vol-1737, Pages 100-104, Kolkata, India, December 7-10, 2016. [2016]
16 || Sandip Sarkar, Partha Pakray, Dipankar Das and Alexander Gelbukh, “Regression based Approaches for detecting and measuring Textual Similarity“, In The Fourth International Conference on Mining Intelligence and Knowledge Exploration (MIKE), Lecture Notes in Artificial Intelligence, Pp. 144-152, November 13 – 19, 2016, Center for Computing Research (CIC) of the National Polytechnic Institute (IPN), Mexico. [2016]
15 || Partha Pakray and Goutam Majumder, “NLP–NITMZ:Part-of-Speech Tagging on Italian Social Media Text using Hidden Markov Model“, In the SHARED TASK ON PoSTWITA – POS tagging for Italian Social Media Texts, EVALITA -2016, Vol-1749, ceur-ws, Napoli, Italy, December 5-7, 2016. [2016]
14 || Divyanshu Bhardwaj, Partha Pakray, Jereemi Bentham, Saurav Saha and Alexander Gelbukh, “Question Answering System for Frequently Asked Questions“, In the SHARED TASK ON QA­4FAQ – Question Answering for Frequently Asked Questions, EVALITA -2016, ceur-ws, Napoli, Italy, December 5-7, 2016. [2016]
13 || Sandip Sarkar, Saurav Saha, Jereemi Bentham, Partha Pakray and Alexander Gelbukh, “NLP-NITMZ@DPIL-FIRE2016:Language Independent Paraphrases Detection“, In the Working notes of FIRE 2016 – Forum for Information Retrieval Evaluation, CEUR-WS.org/Vol-1737, Pages 256-259, Kolkata, India, December 7-10, 2016. [2016]
12 || Sandeep Kumar Dash, Partha Pakray, and Alexander Gelbukh, “Generating a Logical Structure for Virtualizing Physiotherapy Instructions through NLP“, Advances in Soft Computing,  pp 513-523. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Quintana Roo, Mexico, October 23 to 29, 2016. Proceedings, Part I. Lecture Notes in Artificial Intelligence, Volume 10061. [2016]
11 || Jereemi Bentham, Partha Pakray, Goutam Majumder, Sunday Lalbiaknia and Alexander Gelbukh, “Identification of Rules for Recognition of Named Entity Classes in Mizo Language“, In the 15th Mexican International Conference on Artificial Intelligence (MICAI 2016), October 23–29, Cancún, Mexico. (Will Publish in IEEE) [ACCEPTED] [2016]
10 || Sandeep Kumar Dash, Partha Pakray, Alexander Gelbukh, “Representing action structure through semantic roles of Physiotherapy instructions“, The 20th International Conference on Asian Language Processing (IALP 2016), INSPEC Accession Number: 16725883, pp. 87-90, DOI: 10.1109/IALP.2016.7875941, 21-23 Nov. 2016, Tainan, Taiwan. [2016]
9 || Goutam Majumder, Partha Pakray, David Pinto, “Semantic Textual Similarity using Modified WordNet Taxonomy using Tri-Gram Language Model“, at The Tenth International Conference on Natural Language Processing (HrTAL2016), Dubrovnik, Croatia, 29 September – 1 October 2016 [ACCEPTED] [2016]
8 || Sandip Sarkar, Dipankar Das, Partha Pakray, Alexander Gelbukh, “JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio“, at Proceedings of SemEval-2016, pages 702–705, San Diego, California, June 16-17, 2016. Association for Computational Linguistics [2016]
7 || Goutam Majumder, Partha Pakray, Zoramdinthara, Alexander Gelbukh, “Multiword Expressions (MWE) for Mizo Language: Literature Survey“, at 17th International Conference on Intelligent Text Processing and Computational Linguistics, April 3–9, 2016, Konya, Turkey, Lecture Notes in Computer Science book series (LNCS, volume 9623), DOI https://doi.org/10.1007/978-3-319-75477-2_45, Print ISBN 978-3-319-75476-5. [2016]
6 || Partha Pakray, Arunangshu Pal, Goutam Majumder and Alexander Gelbukh, Resource Building and POS Tagging for Mizo Language“. IEEE CS, ISBN 978-1-5090-0323-5, 2016, pp. 3–7. [2015]
5 || Santanu Pal, Partha Pakray, Alexander Gelbukh, Josef Van Genabith, “Mining Parallel Resources from Comparable Corpora to improve performance of Machine Translation“, Computational Linguistics and Intelligent Text Processing Lecture Notes in Computer Science Volume 9041, 2015, pp 534-544, April 14-20, 2015, Cairo, Egypt [2015]
4 || Partha Pakray, Petr Sojka, “An Architecture for Scientific Document Retrieval Using Textual and Math Entailment Modules“, in RASLAN 2014: Recent Advances in Slavonic Natural Language Processing, Karlova Studánka, Czech Republic, December 5-7, 2014. [2014]
3 || Partha Pakray, and Alexander Gelbukh, “An Open Domain Causal Relation Detection from Paired Nominal“, in 13th Mexican International Conference on Artificial Intelligence (MICAI-2014), Nature-Inspired Computation and Machine Learning, Part II, LNAI 8857, pp. 263–271, November 16 to 22, 2014, Tuxtla Gutiérrez, Chiapas, Mexico. [2014]
2 || Andre Lynum, Partha Pakray, Bjorn Gamback and Sergio Jimenez, “NTNU: Measuring semantic similarity with sublexical feature representations and soft cardinality“, in Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 448–453, Dublin, Ireland, August 23-24, 2014. [2014]
1 || Santanu Pal, Partha Pakray and Sudip Kumar Naskar, “Automatic Building and Using Parallel Resources for SMT from Comparable Corpora“, Proceedings of the 3rd Workshop on Hybrid Approaches to Translation (HyTra) @ EACL 2014, pages 47–56, Gothenburg, Sweden, April 27 2014. c 2014 Association for Computational Linguistics [2014]
Many More … Will update soon.

 


RESEARCH PROJECTS

Sl No Name of the Project Sponsored by Date Duration Place Amount Role Status
1 Textual Instructions to Virtual Actions DST (Govt of India) – DAAD (Germany)Govt. of India    International Division 2016-2018 Two Years NIT Mizoram Rs. 18.90 Lacs PI Completed
2 An Application of Textual Entailment and Semantic Textual Similarity in Scientific Document Retrieval System SERB-DST (“Young Scientist Scheme”) Govt. of India 2016-2019 Three Years NIT Mizoram (March, 2016 to Aug, 2018) NIT Silchar (Aug, 2018 to Sept, 2019) Rs. 18.31 Lacs PI Completed
3 A Computer-aided Recommendation Engine for the Health Diagnostic ASEAN-DST    International Division 2019-2021 Two Years NIT Silchar Rs. 11.33 Lacs PI Completed
4 Deep Summarization Evaluation DST (India) -CNRS (CNRS) Targeted programme 2018-19      International Division 2020-2023 Three Years NIT Silchar Rs. 31.06 Lacs PI Ongoing
5 MEDICBOT: A Healthcare Assistant” Student Project ARTPARK (AI & Robotics Technology Park),IISc Bangalore Aug, 2021 – July, 2022 1 Year NIT Silchar Rs. 6.60 Lacs (Approx) Mentor Completed
6 Quantum Machine Learning for Natural Language Processing Applications MeitY Quantum Computing Applications Lab (QCAL) March, 2022 – March, 2024 2 Years NIT Silchar USD 28,500 PI Ongoing

CONSULTANCY PROJECTS

1. Project Name: CollegeME – A Recommender System for College Admission, Funded by: SenseNet Technologies Pvt Ltd, Start Date: 20/04/2020 (Completed – Prototype developed).

In-House Student Projects:

  • Mentoring the Project on “Model Development for Online Exam“, Nihar Basisth (Team Learder), Trishanku Sarmah, Gyandeep Kalita, Eisha Halder, Bishal Karmakar, Karan Medhi from Computer Science & Engineering funded by UGRC, National Institute of Technology Silchar.
  • Data Harvesting – A challenge to create North-Eastern Language corpora (multimodal – text, image and speech) for various Natural Language Processing Applications: PhD Students (04 – ongoing), PG Students (02- ongoing), Looking Intern Students and UG students. If you are interested to contribute on NE languages then please contact me: partha@cse.nits.ac.in. (Note: No funds available
  • English – Mizo Speech Identification and TranslationIf you (UG/PG/PhD) are interested to contribute on NE languages then please contact me: partha@cse.nits.ac.in. (Note: No funds available) , Sept, 2022 to now.

 

Any feedback/ suggestions are always welcome – partha@cse.nits.ac.in

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