Tirthankar Ghosal

Tirthankar Ghosal is a currently an affiliate researcher (EU H2020 NEUREM3) with the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics at Charles University, Czech Republic. Tirthankar heads the SciSpace NLP Lab in Bengaluru, India. He is an active NLP/ML science consultant and scientific advisor to several speech and language processing labs/industry in India, US, and Czech Republic. Tirthankar did his Ph.D. at the Indian Institute of Technology Patna. His main research interests are NLP/ML for Scholarly Document Processing and Peer Reviews, Novelty Detection, Text/Dialogue Summarization, and Scholarly Argumentation Mining. He was the Work Package Lead of the Automatic Minuting module of H2020 EU project ELITR. He was also the principal organizer of Automatic Minuting community events: SummDial at SIGDial 2021 and AutoMin shared task at Interspeech 2021 for project ELITR. Tirthankar is currently based at Siliguri, West Bengal, in the foothills of the Himalayas in India.


Address👉Pokaijote, P.O. Champasari, Siliguri, West Bengal, India – 734003
Email👉<last-name>@ufal.mff.cuni.cz, t<last-name>@acm.org
Linkedin👉www.linkedin.com/in/tirthankar-ghosal-ai/
Twitter👉@TirthankarSlg

RESEARCH INTERESTS

  • Scholarly Language Processing, Scholarly Document processing
    • Natural Language Processing
    • Machine Learning and Deep Learning
    • Publication Mining
    • Argumentation Mining
    • NLP/ML for Peer Reviews
  • Information Extraction and Retrieval
  • Text and Speech Processing, Meeting/Dialogue Summarization
  • Meta Science (Meta Research, Science of Science)
  • Scientometrics
    • Bibliometric Intelligence
  • Knowledge Discovery
    • Graph Mining, Knowledge Graphs
  • Artificial Intelligence

PROFESSIONAL EMPLOYMENTS

Head of Research at SciSpace/Typeset, IndiaMay 2022 onwards
Researcher at UFAL, Charles University, Czech RepublicSeptember 2021 – present
Visvesvaraya Research Fellow
Indian Institute of Technology Patna, India
January 2016 – December 2020
Research Intern
Oak Ridge National Laboratory, US
March 2019 – September 2019
Assistant Professor
Sikkim Manipal Institute of Technology, India
August 2012 – December 2015

ACTIVE RESEARCH PROBLEMS

  1. Textual Novelty Detection (Scientific+News Domain)
  2. Significance of Peer Reviews and related problems in Scholarly Communications
  3. Measuring Research Pervasiveness via Citation Mining and Scholarly Full Text
  4. (Scientific) Misinformation Detection
  5. Entity-linking and Knowledge Discovery from Scientific Publications
  6. Text/Speech/Dialogue/Meeting Summarization and Automatic Minuting
  7. Knowledge Graphs on Scholarly Publications, Electronic Health Records, Radiology Reports, Medical Imaging
  8. Diversity and Inclusion in NLP
  9. Argumentation Mining in Scholarly and Legal Discourse https://scholarly.argmining.org/

PUBLISHED PAPERS

[P1] Ghosal, T., Das, S.K., & Bhattacharjee, S. (2015). Sentiment analysis on (Bengali horoscope) corpus. 2015 Annual IEEE India Conference (INDICON), 1-6.

[P2] Saikh, T., Ghosal, T., Ekbal, A., & Bhattacharyya, P. (2017, December). Document-level novelty detection: textual entailment lends a helping hand. In Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017) (pp. 131-140). 

[P3] Ghosal, T., Salam, A., Tiwari, S., Ekbal, A., & Bhattacharyya, P. (2018). TAP-DLND 1.0: A Corpus for Document Level Novelty Detection. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018. 

[P4] Ghosal, T., Sonam, R., Saha, S., Ekbal, A., & Bhattacharyya, P. (2018). Investigating domain features for scope detection and classification of scientific articles. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (pp. 7-12).

[P5] Ghosal, T., Verma, R.K., Ekbal, A., Saha, S., Bhattacharyya, P., Chivukula, S.S., Tsatsaronis, G., Coupet, P., & Gregory, M.L. (2018). Can your paper evade the editor’s axe? Towards an AI-assisted peer review system.

[P6] Ghosal, T. (2018) Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review. Bulletin of the IEEE Technical Committee on Digital Libraries, In the Doctoral Consortium of the 18th ACM/IEEE Joint Conference on Digital Libraries

[P7] Ghosal, T., Verma, R., Ekbal, A., Saha, S., & Bhattacharyya, P. (2018, May). Investigating Impact Features in Editorial Pre-Screening of Research Papers. In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (pp. 333-334). ACM.

[P8] Ghosal, T., Edithal, V., Ekbal, A., Bhattacharyya, P., Tsatsaronis, G., & Chivukula, S. S. S. K. (2018, August). Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 2802-2813). 

[P9] Ghosal, T., Shukla, A., Ekbal, A., & Bhattacharyya, P. (2019, July). To Comprehend the New: On Measuring the Freshness of a Document. In the 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. 

[P10] Ghosal, T., Sonam, R., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019, June). Is the Paper Within Scope? Are You Fishing in the Right Pond?. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 237-240). IEEE. 

[P11] Ghosal, T., Raj, A., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019, June). A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly Submissions. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 227-236). IEEE.

[P12] Ghosal, T., Dey, D., Dutta, A., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019, June). A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 392-393). IEEE.

[P13] Ghosal, T., Chakraborty, A., Sonam, R., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019, June). Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 374-375). IEEE. 

[P14] Ghosal, T., Verma, R., Ekbal, A., & Bhattacharyya, P. (2019, June). A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 414-415). IEEE. 

[P15] Ghosal, T., Verma, R., Ekbal, A., & Bhattacharyya, P. (2019, July). DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 1120-1130). 

[P16] Ghosal, T., Edithal, V., Ekbal, A., Bhattacharyya, P., Chivukula, S. S. S. K., & Tsatsaronis, G. (March, 2020). Is your document novel? Let attention guide you. An attention-based model for document-level novelty detection. Natural Language Engineering, 1-28. 

[P17]  Ghosal, T., Verma, R., Ekbal, A., Saha, S., & Bhattacharyya, P. (2020, November). What is the Scope of your Paper? An Experimental Study of Scope Detection Across Two Computer Science Journals. In Proceedings of the 22nd International Conference on Asia-Pacific Digital Libraries. 

[P18] Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M Patton, Michal Shmueli-Scheuer (2020) Overview of the First Workshop on Scholarly Document Processing In Conference on Empirical Methods in Natural Language Processing (EMNLP 2020).

[P19]  Kaushik, V.K., Ghosal, T., & Kordoni, V. Additional Context Helps! Leveraging Cited Paper Information To Improve Citation Classification. (To Appear) In Proceedings of ISSI 2021.

[P20] Hardik Arora, Tirthankar Ghosal, Sandeep Kumar, Suraj Patwal, and Phil Gooch. INNOVATORS at SemEval-2021 Task-11 NLP Contribution Graph Challenge: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers. (To Appear) In Proceedings of SemEval 2021 at ACL-IJCNLP 2021

[P21] Rina Kumari, Nischal Ashok, Tirthankar Ghosal, and Asif Ekbal. A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand. In Proceedings of International Joint Conference on Neural Networks (IJCNN) 2021

[P22] Khalid Al Khatib, Tirthankar Ghosal, Anita de Waard, Dayne Freitag, and Yufang Hou. Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead. In Proceedings of the Second Workshop on Scholarly Document Processing (SDP) at NAACL 2021.

[P23] Ghosal, T., & Singh, M. Tracing Idea Propagation in a Scholarly Network via Identification of Meaningful Citations (To Appear) in the 84th Annual Meeting of the Association for Information Science and Technology (ASIS&T), 2021

[P24] Iz Beltagy, Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Keith Hall, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer, Anita de Waard, Kuansan Wang, Lucy Lu Wang (2021) Overview of the Second Workshop on Scholarly Document Processing In NAACL 2021.

[P25] Kaushik, V.K., Ghosal, T., Tiwari, P. & Singh, M. IITP@3C 2021: Citation Classification (Task A) and Citation Significance Detection (Task B) In Proceedings of The Second Workshop on Scholarly Document Processing at NAACL 2021

[P26] Kumar, A., Ghosal, T. & Ekbal, A. A Deep Neural Architecture for Decision-Aware Meta-Review Generation (To Appear) In Proceedings of The ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2021

[P27] Kumar, S., Ghosal, T., Bharti, P. & Ekbal, A. (2021) Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews In Proceedings of The ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2021 

[P28] Guneet Singh Kohli, Prabsimran Kaur, Muskaan Singh, Tirthankar Ghosal and Prashant Rana (2021) ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals In Proceedings of NLPCC-Evaluation 2021 (3rd ranked system)

[P29] Rina Kumari, Nischal Ashok, Tirthankar Ghosal, and Asif Ekbal. What the fake? Probing Misinformation Detection Standing on the Shoulder of Novelty and Emotion in Information Processing and Management Journal (Elsevier), 2021

[P30] Ghosal, T., Tiwary, P., Patton, R., & Stahl, C.Towards Establishing a Research Lineage via Identification of Meaningful Citations in Quantitative Science Studies (MIT), 2021

[P31] Sandeep Kumar, Tirthankar Ghosal, & Asif Ekbal. DataQuest: An Approach To Automatically Extract Dataset Mentions From Scientific Papers In Proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021). 

[P32] Nishith Kotak, Anil K. Roy, Sourish Dasgupta, and Tirthankar Ghosal. A Consistency Analysis of NLP Approaches for Reviewer-Manuscript Matching In Proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021). 

[P33] Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, and Asif Ekbal. ContriSci: A BERT-based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers In Proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021) (Also at WiNLP 2021 as an extended abstract)

[P34] Prabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Asif Ekbal, and Mayank Agarwal. PEERAssist: Leveraging on Paper-Review Interactions To Predict Peer Review Decisions In Proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021) (best student paper runner-up). 

[P35] Rajeev Verma, Kartik Shinde, Hardik Arora and Tirthankar Ghosal. Attend To Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews In Proceedings of the 28th International Conference on Neural Information Processing (ICONIP 2021) .

[P36] Komal Gupta, Tirthankar Ghosal, and Asif Ekbal. A Neuro-Symbolic Approach for Question Answering on Research Articles In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC 35).

[P37] Muskaan Singh, Tirthankar Ghosal, and Ondrej Bojar. An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC 35).

[P38] Tirthankar Ghosal, Sandeep Kumar, Prabhat Kumar Bharti, and Asif Ekbal. Peer Review Analyze: A Novel Benchmark Resource for Computational Analysis of Peer Reviews. In Plos One, 2021 (best student paper award at METRICS 2021)

[P39] Tirthankar Ghosal, Muskaan Singh, Anja Nedoluzhko, and Ondrej Bojar. Overview of the First Shared Task on Automatic Minuting. In Proceedings of the First Shared Task on Automatic Minuting at Interspeech 2021.

[P40] Tirthankar Ghosal, Muskaan Singh, Anja Nedoluzhko, and Ondrej Bojar. Overview of the SummDial Special Session at SIGDial 2021. In SIGIR Forum (December 2021).

[P41] Basavraj Chinagundi, Muskaan Singh, Tirthankar Ghosal and Prashant Singh Rana. Classification of Hate, Offensive and Profane content from Tweets: TIET-CUNI @ HASOC @ FIRE 2021 In Proceedings of Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages and Conversational Hate Speech, in FIRE 2021: Forum for Information Retrieval Evaluation, Virtual Event, 13th-17th December 2021, ACM, 2021.

[P42] Ghosal, T., Al Khatib, K., Hou, Y., de Waard, A., & Freitag, D. (2021). Overview of the First Workshop on Argumentation Knowledge Graphs. In SIGIR Forum (December 2021).

[P43] Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh, Tirthankar Ghosal. CUNI-NU System at Biocreative VIII Track 5: Multi-label Topic Classification of COVID-19 Articles using Dual Attention with SPECTRE. In Proceedings of the BioCreative VII workshop (2021)

[P44] Ghosal, T., Al Khatib, K., Hou, Y., de Waard, A., & Freitag, D. (2021). Overview of the First Workshop on Argumentation Knowledge Graphs (ArgKG) at AKBC 2021. In SIGIR Forum (December 2021).

[P45] Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh, Tirthankar Ghosal. Team CUNI-NU at BioCreative VII LitCovid Track: Multi-label Topical Classification of Scientific Articles using SPECTER Embeddings with Dual Attention and Label-Wise Attention Network. In Proceedings of the BioCreative VII workshop (2021)

[P46] Jan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, Bela Gipp. Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection. In Proceedings of the iConference 2022

[P47] Williams, P., Haddow, B., Sennrich, R., Macháček, D., Nedoluzhko, A., Kratochvíl, J., KIT, T.S.N., Kumar, R., Suchý, D., Ghosal, T. and Bojar, O., 2020. Final Training Data, Separating Confidential and Public Version (European Live Translator (ELITR)). 

[P48] Ghosal, T., Saikh, T., Biswas, T., Ekbal, A., & Bhattacharyya, P. Novelty Detection: A Perspective from Natural Language Processing in Computational Linguistics (CL) journal (ACL), 2021 (Invited for presentation at ACL 2022)

[P49] Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, and Prashant Singh Rana. RERRFACT: Reduced Evidence Retrieval Representations for Scientific Claim Verification in the Scholarly Document Workshop (SDU) at AAAI 2022.

[P50] Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal. How Confident Was Your Reviewer? Estimating Reviewer Confidence From Peer Review Texts in 15th IAPR International Workshop on Document Analysis System (DAS) 2022.

[P51] Sandeep Kumar, Hardik Arora, Tirthankar Ghosal and Asif Ekbal. DeepASPeer: Towards an Aspect-level Sentiment Controllable Framework for Decision Prediction in Peer Reviews in Joint Conference on Digital Libraries (JCDL) 2022 (best student paper award).

[P52] Anja Nedoluzhko, Muskaan Singh, Tirthankar Ghosal and Ondrej Bojar. AutoMin: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech in Language Resources and Evaluation Conference (LREC) 2022.

[P53] Song Wang, Mingquan Lin, Tirthankar Ghosal, Ying Ding, and Yifan Peng. Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review in Health Data Science (a Science Partner Journal), 2022.

[P54] Tirthankar Ghosal, Kamal Kaushik Varanasi, and Valia Kordoni. HedgePeer: A Dataset for Uncertainty Detection in Peer Reviews in Joint Conference on Digital Libraries (JCDL) 2022 .

[P55] Muskaan Singh, Rishu Kumar, Tirthankar Ghosal, Ondřej Bojar, Chiara Canton PV, Andrea Sosi PV, Adelheid Glott AV, Franz C Krüger AV. Demonstrator of Automatic Minuting in project report for EU H2020 ELITR, 2022

[P56] Tirthankar Ghosal, Marie Hledikova, Ondrej Bojar, and Muskaan Singh. Final Report on Summarization in project report for EU H2020 ELITR, 2022

[P57] Nidhir Bhavsar, Aakash Bhatnagar, Rishikesh Devanathan, Muskaan Singh, and Tirthankar Ghosal. Team Innovators @ SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Articles Similarity in SemEval @ ACL 2022 (accepted).

[P58] Tanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, and Pushpak Bhattacharyya. ScienceQA: A Novel Benchmark Resource for Question Answering on Scholarly Articles in International Journal of Digital Libraries (IJDL), 2022 (accepted).

[P59] TK. Shinde, N. Bhavsar, A. Bhatnagar, and T. Ghosal, “Team ABC @ AutoMin 2021: Generating Readable Minutes with a BART-based Automatic Minuting Approach,” in Proceedings of the First Shared Task on Automatic Minuting at Interspeech 2021, 2021, pp. 1–10. [Online].

[P60] Tirthankar Ghosal, Muskaan Singh, and Ondrej Bojar, “The Second Automatic Minuting (AutoMin) Challenge: Generating and Evaluating Minutes from Multi-Party Meetings” in Proceedings of the 15th International Natural Language Generation Conference (INLG), 2022 (accepted).

[P61] Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal,  Mayank Agrawal, and Asif Ekbal, Can a Machine Generate a Meta-Review? How far are we? in Proceedings of the 25th International Conference on Text, Speech, and Dialogue (TSD), 2022 (accepted).

[P62] Saprativa Bhattacharjee, Kartik Shinde, Tirthankar Ghosal, and Asif Ekbal, “A Multi-Task Learning Approach for Summarization of Dialogues” in Proceedings of the 15th International Natural Language Generation Conference (INLG), 2022 (accepted).

[P63] Asheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee, and Asif Ekbal, “Investigations on Meta Review Generation From Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline” in Proceedings of The 26th International Conference on Theory and Practice of Digital Libraries (TPDL), 2022 (accepted).

[P64] Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, and Asif Ekbal, “BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments” in Proceedings of The 26th International Conference on Theory and Practice of Digital Libraries (TPDL), 2022 (accepted).

[P65] Tirthankar Ghosal, Vignesh Edithal, Tanik Saikh, Saprativa Bhattacharjee, Asif Ekbal and Pushpak Bhattacharyya, “Novelty Detection in Community Question Answering Forums” in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC 36), 2022 (accepted, also presented in WecNLP 2021).

[P66] Kartik Shinde, Tirthankar Ghosal, Muskaan Singh, and Ondřej Bojar, “Automatic Minuting: A Pipeline Method for Generating Minutes from Multi-Party Meeting Proceedings” in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC 36), 2022 (accepted).

[P67] Kartik Shinde, Trinita Roy, and Tirthankar Ghosal, “An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review” In Proceedings of the Third Workshop on Scholarly Document Processing (SDP) at COLING 2022 (top ranker).

[P68] Sandeep Kumar, Hardik Arora, Tirthankar Ghosal, and Asif Ekbal, “Want to Get an Insight about your Paper’s Future? A Joint Multitask Aspect Sentiment leveraged Framework for assisting Decision Prediction from Academic Peer Reviews” in Information Processing & Management Conference 2022 (INFO2022). [Accepted]

[P69] Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang, Yury Kashnitsky, Georgios Tsatsaronis, Catriona Fennell, and Cyril Labbé (2022) Overview of the Third Workshop on Scholarly Document Processing in The 29th International Conference On Computational Linguistics (COLING) 2022.

[P70] Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, and Michal Shmueli-Scheuer, “Overview of the First Shared Task on Multi-Perspective Scientific Document Summarization (MuP)” in Proceedings of the Third Workshop on Scholarly Document Processing (SDP) at the 29th International Conference On Computational Linguistics (COLING) 2022.

[P71] Tirthankar Ghosal, Kamal Kaushik Varanasi, and Valia Kordoni, “A Deep Multi-tasking Approach Leveraging on Cited-Citing Paper Relationship for Citation Intent Classification” in Scientometrics (2022).

[P72] Vipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, and Asif Ekbal, “M^3: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection” in The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 12th International Joint Conference on Natural Language Processing (IJCNLP), 2022 (accepted)

[P73] Tirthankar Ghosal, Muskaan Singh, Xinnuo Xu, and Ondrej Bojar, “Overview of the 2nd SummDial Special Session at SemDial 2022” in Proceedings of the 26th Workshop On The Semantics And Pragmatics of Dialogue (SemDial) 2022

[P74] Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, and Michal Shmueli-Scheuer, “Overview of the First Shared Task on Multi-Perspective Scientific Document Summarization (MuP)” in Proceedings of the Third Workshop on Scholarly Document Processing (SDP) at the 29th International Conference On Computational Linguistics (COLING) 2022.

[P75] Tirthankar Ghosal, Felix Grezes, Sergi Blanco-Cuaresma, Alberto Accomazzi, Thomas Allen, and Robert M. Patton, Overview of the First Workshop on Information Extraction from Scientific Publications (WIESP) in the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 12th International Joint Conference on Natural Language Processing (IJCNLP), 2022

[P76] Felix Grezes, Tirthankar Ghosal, Sergi Blanco-Cuaresma, Alberto Accomazzi, Thomas Allen, and Robert M. Patton, Overview of the First Shared Task on Detecting Entities in the Astrophysics Literature (DEAL) in the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 12th International Joint Conference on Natural Language Processing (IJCNLP), 2022

[P77] Rajeev Verma, Rajarshi Roychoudhury, and Tirthankar Ghosal, “The lack of theory is painful: Modeling Harshness in Peer-Review Comments” in The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 12th International Joint Conference on Natural Language Processing (IJCNLP), 2022 (accepted)


COMMUNICATED/IN-PROGRESS WORKS (2021-2022)

[P78] Overview of the MuP Shared Task at SDP @ COLING 2022 [Communicated]

[P79] A Demonstration of NLP/ML Functions on Peer Reviews [In-Progress]

[P80] A Demonstration of Sci Doc Summarization [In-Progress]

[P81] Reviewer Questionnaire Generation [Communicated]

[P82] Scientific Novelty Detection Leveraging on KGs [Communicated]

[P83] NLP/ML use-cases on Peer Reviews [In-Progress]

[P84] Review Misinformation [In-Progress]

[P85] How confident was your reviewer? [In-Progress]

[P86] Developing an Antigrooming Chatbot [In-Progress]

[P87] Rare Disease Classification [In-Progress]

[P88] Aspect-focussed Review Summarization [In Progress]

[P89] A Multimodal Dataset for Fake News Detection [Communicated, 2021]

[P90] A Multi-tasking Deep Neural Architecture for Citation Intent Classification. [Communicated, 2021]

[P91] A Longitudinal Survey on Semantic Similarity Methods [Communicated, 2021]

[P92] A Pipeline method for Peer Review Decision Prediction and Meta-Review Generation [In Progress]

[P93] Can you Estimate the Reviewer’s Knowledge? [In Progress]

[P94] Dataset Mention Discovery from Scientific Publications [Communicated]

[P95] A Dataset on Multi-Perspective SciDoc Summarization [In-progress]

[P96] Explainable Fake News Detection [Communicated]

[P97] Memory Networks for Document-Level Novelty Detection. [Communicated]

[P98] Argumentation for Decision Prediction in Peer Reviews. [In Progress]

[P99] Unsupervised methods for summarizing reviews [In-progress]

[P100] Which reviews are important? Investigations on Significance of Peer Reviews. [Communicated, 2021]

[P101] A novelty-focussed multimodal investigation on misinformation [In Progress]

[P102] A Survey on Automatic Minuting. [In-Progress]

[P103] Can we do away with the human evaluation of meeting summaries? Not yet! [In Progress]

[P104] A Longitudinal Survey on Document-Level Novelty Detection [In-Progress]

[P105] Aspect Extraction from Peer Reviews [Communicated].

[P106] Decision Prediction Leveraging on Aspect-Sentiment in Peer Reviews [In-Progress]

[P107] Scholarly Knowledge-Graph Construction [Communicated]

[P108] Q&A on Peer Reviews [Communicated]

[P109] A survey on meeting summarization evaluation [In-Progress]

[P110] A Set of Exhaustive Experiments on Using Pre-trained, Fine-tuned Models for Meeting Summarization [In-Progress]

[P111] Multimodal Summarization [In-Progress]

[P112] Multilingual Summarization [In-Progress]


RESEARCH COLLABORATIONS (with researchers/research groups from … )


SPONSORED PROJECTS and CONSULTANCIES

  • Principal Investigator of a project on Legal Language Processing with a leading US-based Legal Corporation (Lexitas)
  • Principal Investigator of a project on Peer Reviews with a leading publishing service company in India (Cactus Communications)
  • Scientific Advisor to a US-based Scholarly Content Discovery platform (SciSpace Labs/TypeSet)
  • Scientific Advisor to a US-based Automotive Intelligence company (Predii Labs)
  • Building Scholarly Knowledge Graph at TIB – Leibniz Information Centre for Science and Technology, Germany; awarded a grant from Open Research Knowledge Graph (ORKG)
  • Scientific Advisor (mentor) to Acta.Ai for Automatic Minuting
  • Was the Work Package Leader (Automatic Minuting) at the EU H2020 project European Live Translator (ELITR)

COMMUNITY SERVICE/ORGANIZATIONAL ROLES


HONORS AND AWARDS

  • Awarded the University First Rank medal for securing the highest marks in BCA examinations under University of North Bengal (Session: 2006-09). The medal was awarded in April 2010.
  • Awarded the University First Class First Gold medal for securing the highest marks in MCA examinations under University of North Bengal (Session: 2009-12). Awarded on 26th February 2015.
  • Awarded the Jindal Jubilee Gold medal for securing the highest marks in MCA under University of North Bengal (Session: 2009-12). Awarded on 26th February 2015.
  • Awarded the Late Sourav Bhattacharya Memorial medal for securing the highest marks in MCA under University of North Bengal (Session: 2009-12). Awarded on 26th February 2015.
  • Qualified UGC-NET, WB-SET, WB-TET for Assistant Professorship in universities/colleges in India
  • Awarded high-value Visvesvaraya fellowship (MEITY) to pursue Ph.D. in IIT Patna in January 2016 (only awarded to 500 Computer Science candidates till date)
  • Invited to present research on Novelty Detection at IRISS 2019, ACM India Annual Event held at Kochi, India from February 6-8, 2019 with funding from ACM India Chapter (Top 15 Computer Science PhDs).
  • Awarded the Augmenting Writing Skills for Articulating Research (AWSAR) 2018 award for popular science writing on Artificial Intelligence in Peer Review by Department of Science and Technology (DST), Government of India
  • Awarded the best poster at FORCE11 2019 conference for the work “Novelty, Scope, Quality: Exploring Artificial Intelligence for Scholarly Communications” at the University of Edinburgh, UK
  • Awarded the Best Student Research Paper at the SIG/MET METRICS ASIS&T Workshop 2020
  • Invited to participate in the European NLP Summit at Facebook Headquarters, London, UK on October 11, 2019
  • Selected as a visiting researcher in Harvard-Smithsonian Institute, Harvard University, US in a NASA (Astrophysics Data System) project
  • Selected as a visiting researcher via the ORISE program in the Oak Ridge National Laboratory, US (March 2019-August 2019)
  • Awarded for the Best Research Poster in the Research Scholar’s Day (RSD) 2020 at IIT Patna
  • Invited in FORCE11 2019 conference to present on AI for Peer Review held at the University of Edinburgh, UK from October 15-17, 2019 with full sponsorship.
  • Invited in FORCE11 2018 conference to present on AI in Scholarly Communications held at McGill University, Montreal from October 10-11, 2018 with full sponsorship awarded by CrossRef
  • Selected for MHRD fellowship for pursuing Ph.D. in IIT Patna in January 2016
  • Selected for best research presentation from CSE Department at Research Scholars Day, IIT Patna
  • Selected for ACM-SIGCHI Student Support Travel Grant to attend and present current work on recommendation systems for academic journals (if accepted) in ACM RecSys 2018 held in Vancouver, Canada from October 2-7, 2018
  • Awarded the ACM SIGIR Student Travel Grant 2018 to attend and present in the 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2018 held at Fort Worth, Texas, US from June 3-6, 2018
  • Awarded the Microsoft Research Travel Grant 2018 to attend and present in the 27th International Conference on Computational Linguistics (COLING 2018) held at Santa Fe, New Mexico, USA from August 20-26, 2018
  • Awarded the Visvesvaraya Conference Grant to attend and present in COLING 2018
  • Awarded the Microsoft Research Travel Grant 2019 to attend and present in the 37th IEEE International Joint Conference on Neural Networks (IJCNN) 2019 held in Budapest, Hungary from July 14-20, 2019
  • Has been awarded the ACM SIGIR Student Travel Grant 2019 to attend the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2019 held at the University of Illinois Urbana Champaign, US from June 2-6, 2019
  • Has been awarded the ACM-India IARCS Travel Grant 2019 to attend the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2019 held at the University of Illinois Urbana Champaign, US from June 2-6, 2019
  • Selected to represent IIT Patna contingent in the Students Academic Conference at Inter IIT Tech Meet 8.0 at IIT Roorkee
  • Selected to represent the Department of Computer Science and Engineering at the Research Scholar Day in 2017 and 2020, IIT Patna.
  • Selected for the Spring Mentorship Cohort 2020 in the Society of Scholarly Professionals (SSP)
  • Our team is the Third Prize winner in the AI Debater Challenge on Argument Pair Extraction task at NLPCC2021
  • Our team INNOVATORS selected within Top 15 teams to participate in the Food For Thought Data Challenge 2022 from the Coleridge Initiative, NYU
  • We are awarded the best paper runner up for our paper “PeerAssist” at ICADL 2021
  • We are awarded the best student paper award at JCDL 2022 for “DeepASPeer”
  • Our team from SciSpace achieved the top rank in the MSLR shared task (Cochrane) at the Scholarly Document Processing workshop at COLING 2022

CONFERENCE VISITS/PRESENTATIONS

  • Attended and Presented in the 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2018 held at Fort Worth, Texas, US from June 3-6, 2018
  • Attended and Presented in the 27th International Conference on Computational Linguistics (COLING) 2018 held at Santa Fe, New-Mexico, USA from August 20-26, 2018
  • Attended the Fourth Research Workshop for the “Visvesvaraya PhD Scheme for Electronics & IT” at MNIT Jaipur during 13th-15th September, 2018.
  • Attended and Presented in the Future of Research Communication and e-Scholarship (FORCE) conference 2018 held at McGill University, Montreal, Canada from October 10-11, 2018 
  • Presented AI for Scholarly Communications at the Text Mining workshop organized by the Computational Data Analytics group at the Oak Ridge National Laboratory on November 2018
  • Attended and Presented in the 13th Inter Research Institute Student Seminar in Computer Science 2019, ACM India Annual Event held at Kochi, India from February 6-8, 2019
  • Attended and Presented in the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2019 held at the University of Illinois Urbana-Champaign, US from June 2-5, 2019
  • Attended and Presented in the Artificial Intelligence (AI) Expo at the Oak Ridge National Laboratory, US on July 29, 2019
  • Attended and Presented in the 7th Annual Oak Ridge Postdoctoral Association Research Symposium at the Oak Ridge National Laboratory, US on August 6, 2019
  • Participated in the European NLP Summit at Facebook Headquarters, London, UK on October 11, 2019
  • Attended and Presented in the Future of Research Communication and e-Scholarship (FORCE) conference 2019 held at the University of Edinburgh, Scotland, UK from October 15-17, 2019
  • Delivered an Elsevier Lab Online Lecture on Novelty Detection held online on October 6, 2020
  • Presented at the ASIS&T SIG/MET workshop on October 22, 23 on Computational Analysis of Peer Reviews and Establishing a Research Lineage
  • Presented at West Coast NLP 2020 on October 30, 2020 on Textual Novelty Detection.
  • Presented at ICADL 2020 on November 30 on Scope Detection in Scientific Publications.
  • Delivered a tutorial on Natural Language Processing at Manipal Academy of Higher Education on December 17, 2020
  • Moderator of the panel “Diversity and Inclusion in Peer Reviews” at WiNLP @ EMNLP 2021
  • Tutorial on “Peer Reviews: How to write and respond?” at University of Moratuwa, Srilanka in November 2021
  • Research talk at Iris.Ai in December 2021
  • Research demo at Stanford CodeX lab in December 2021
  • Invited for presenting research on Textual Novelty Detection at ACL 2022, Dublin, Ireland

REFERENCES

On Request