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Tirthankar Ghosal
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2020 – today
- 2024
- [j16]Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal:
PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review. Int. J. Digit. Libr. 25(1): 55-72 (2024) - [j15]Asheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee
, Asif Ekbal:
Towards automated meta-review generation via an NLP/ML pipeline in different stages of the scholarly peer review process. Int. J. Digit. Libr. 25(3): 493-504 (2024) - [j14]Rina Kumari
Emotion aided multi-task framework for video embedded misinformation detection. Multim. Tools Appl. 83(12): 37161-37185 (2024) - [j13]Tirthankar Ghosal
A Deep Multi-Tasking Approach Leveraging on Cited-Citing Paper Relationship For Citation Intent Classification. Scientometrics 129(2): 767-783 (2024) - [c52]Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal:
Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles. LREC/COLING 2024: 10790-10801 - [i9]Yuan-Sen Ting, Tuan Dung Nguyen, Tirthankar Ghosal, Rui Pan, Hardik Arora, Zechang Sun, Tijmen de Haan, Nesar Ramachandra, Azton Wells, Sandeep Madireddy, Alberto Accomazzi
AstroMLab 1: Who Wins Astronomy Jeopardy!? CoRR abs/2407.11194 (2024) - [i8]Kartheik Iyer, Mikaeel Yunus
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR abs/2408.01556 (2024) - [i7]Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal:
Can Large Language Models Unlock Novel Scientific Research Ideas? CoRR abs/2409.06185 (2024) - [i6]Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting:
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. CoRR abs/2409.19750 (2024) - 2023
- [j12]Rina Kumari, Nischal Ashok, Pawan Kumar Agrawal, Tirthankar Ghosal, Asif Ekbal:
Identifying multimodal misinformation leveraging novelty detection and emotion recognition. J. Intell. Inf. Syst. 61(3): 673-694 (2023) - [j11]Sandeep Kumar
DeepMetaGen: an unsupervised deep neural approach to generate template-based meta-reviews leveraging on aspect category and sentiment analysis from peer reviews. Int. J. Digit. Libr. 24(4): 263-281 (2023) - [c51]Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal:
When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. EMNLP 2023: 16693-16704 - [c50]Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal:
MuP-SciDocSum: Leveraging Multi-perspective Peer Review Summaries for Scientific Document Summarization. ICADL (2) 2023: 250-267 - [c49]Tirthankar Ghosal, Ondrej Bojar, Marie Hledíková, Tom Kocmi, Anna Nedoluzhko:
Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023. INLG (Generation Challenges) 2023: 138-167 - [c48]Hardik Arora, Kartik Shinde, Tirthankar Ghosal:
Deciphering the Reviewer's Aspectual Perspective: A Joint Multitask Framework for Aspect and Sentiment Extraction from Scholarly Peer Reviews. JCDL 2023: 35-46 - [c47]Hamed Alhoori
Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload. JCDL 2023: 319-320 - [c46]Rajeev Verma
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. SIGIR-AP 2023: 95-103 - [i5]Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal:
When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews. CoRR abs/2310.18685 (2023) - 2022
- [j10]Tirthankar Ghosal, Tanik Saikh, Tameesh Biswas, Asif Ekbal, Pushpak Bhattacharyya:
Novelty Detection: A Perspective from Natural Language Processing. Comput. Linguistics 48(1): 77-117 (2022) - [j9]Rina Kumari
What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion. Inf. Process. Manag. 59(1): 102740 (2022) - [j8]Tanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, Pushpak Bhattacharyya:
ScienceQA: a novel resource for question answering on scholarly articles. Int. J. Digit. Libr. 23(3): 289-301 (2022) - [c45]Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, Prashant Singh Rana:
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. SDU@AAAI 2022 - [c44]Arman Cohan
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING 2022: 1-6 - [c43]Kartik Shinde, Trinita Roy, Tirthankar Ghosal:
An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review. SDP@COLING 2022: 204-209 - [c42]Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer:
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). SDP@COLING 2022: 263-267 - [c41]Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal:
How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts. DAS 2022: 126-139 - [c40]Asheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee
Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline. TPDL 2022: 216-229 - [c39]Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal:
BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments. TPDL 2022: 500-505 - [c38]Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal:
A Method for Automatically Estimating the Informativeness of Peer Reviews. ICON 2022: 280-289 - [c37]Jan Philip Wahle
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection. iConference (1) 2022: 381-392 - [c36]Vipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal:
MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection. AACL/IJCNLP (Findings) 2022: 464-477 - [c35]Rajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal:
The lack of theory is painful: Modeling Harshness in Peer Review Comments. AACL/IJCNLP (1) 2022: 925-935 - [c34]Sandeep Kumar, Hardik Arora, Tirthankar Ghosal, Asif Ekbal:
DeepASPeer: towards an aspect-level sentiment controllable framework for decision prediction from academic peer reviews. JCDL 2022: 29 - [c33]Tirthankar Ghosal, Kamal Kaushik Varanasi, Valia Kordoni:
HedgePeer: a dataset for uncertainty detection in peer reviews. JCDL 2022: 46 - [c32]Anna Nedoluzhko, Muskaan Singh, Marie Hledíková, Tirthankar Ghosal, Ondrej Bojar:
ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech. LREC 2022: 3174-3182 - [c31]Tirthankar Ghosal, Vignesh Edithal, Tanik Saikh, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya:
Novelty Detection in Community Question Answering Forums. PACLIC 2022: 525-532 - [c30]Kartik Shinde, Tirthankar Ghosal, Muskaan Singh, Ondrej Bojar:
Automatic Minuting: A Pipeline Method for Generating Minutes from Multi-Party Meeting Proceedings. PACLIC 2022: 691-702 - [c29]Nidhir Bhavsar, Rishikesh Devanathan, Aakash Bhatnagar, Muskaan Singh, Petr Motlícek, Tirthankar Ghosal:
Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity. SemEval@NAACL 2022: 1163-1170 - [c28]Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal:
Can a Machine Generate a Meta-Review? How Far Are We? TSD 2022: 275-287 - [e2]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:
Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 [contents] - [i4]Ashish Rana, Deepanshu Khanna, Muskaan Singh, Tirthankar Ghosal, Harpreet Singh, Prashant Singh Rana:
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. CoRR abs/2202.02646 (2022) - 2021
- [j7]Rina Kumari
Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition. Inf. Process. Manag. 58(5): 102631 (2021) - [j6]Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Srinivasa Satya Sameer Kumar Chivukula, George Tsatsaronis:
Is your document novel? Let attention guide you. An attention-based model for document-level novelty detection. Nat. Lang. Eng. 27(4): 427-454 (2021) - [j5]Tirthankar Ghosal, Piyush Tiwary, Robert M. Patton, Christopher G. Stahl:
Towards establishing a research lineage via identification of significant citations. Quant. Sci. Stud. 2(4): 1511-1528 (2021) - [j4]Tirthankar Ghosal, Muskaan Singh, Anja Nedoluzhko, Ondrej Bojar:
Report on the SIGDial 2021 special session on summarization of dialogues and multi-party meetings (SummDial). SIGIR Forum 55(2): 12:1-12:17 (2021) - [j3]Tirthankar Ghosal, Khalid Al Khatib, Yufang Hou, Anita de Waard, Dayne Freitag:
Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021. SIGIR Forum 55(2): 19:1-19:12 (2021) - [j2]Tirthankar Ghosal:
Studies in aspects of peer review: novelty, scope, research lineage, review significance, and peer review outcome. SIGIR Forum 55(2): 26:1-26:2 (2021) - [c27]Tirthankar Ghosal, Muskaan Singh:
Towards Finding a Research Lineage Leveraging on Identification of Significant Citations. ASIST 2021: 456-460 - [c26]Basavraj Chinagundi, Muskaan Singh, Tirthankar Ghosal, Prashant Singh Rana, Guneet Singh Kohli:
Classification of Hate Offensive and Profane content from Tweets using an Ensemble of Deep Contextualized and Domain Specific Representations. FIRE (Working Notes) 2021: 491-500 - [c25]Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal:
DataQuest: An Approach to Automatically Extract Dataset Mentions from Scientific Papers. ICADL 2021: 43-53 - [c24]Nishith Kotak, Anil K. Roy, Sourish Dasgupta
A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript Matchmaking. ICADL 2021: 277-287 - [c23]Prabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal:
PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions. ICADL 2021: 421-435 - [c22]Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal:
ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers. ICADL 2021: 436-452 - [c21]Rajeev Verma, Kartik Shinde, Hardik Arora, Tirthankar Ghosal:
Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews. ICONIP (6) 2021: 761-768 - [c20]Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal:
A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand. IJCNN 2021: 1-8 - [c19]Asheesh Kumar, Tirthankar Ghosal, Asif Ekbal:
A Deep Neural Architecture for Decision-Aware Meta-Review Generation. JCDL 2021: 222-225 - [c18]Sandeep Kumar, Tirthankar Ghosal, Prabhat Kumar Bharti, Asif Ekbal:
Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews. JCDL 2021: 270-273 - [c17]Guneet Singh Kohli, Prabsimran Kaur, Muskaan Singh, Tirthankar Ghosal, Prashant Singh Rana:
ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals. NLPCC (2) 2021: 590-602 - [c16]Komal Gupta, Tirthankar Ghosal, Asif Ekbal:
A Neuro-Symbolic Approach for Question Answering on Research Articles. PACLIC 2021: 40-49 - [c15]Muskaan Singh, Tirthankar Ghosal, Ondrej Bojar:
An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting. PACLIC 2021: 50-60 - [c14]Hardik Arora, Tirthankar Ghosal, Sandeep Kumar, Suraj Patwal, Phil Gooch:
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers. SemEval@ACL/IJCNLP 2021: 502-510 - [i3]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. CoRR abs/2111.07819 (2021) - 2020
- [c13]Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard:
Overview of the First Workshop on Scholarly Document Processing (SDP). SDP@EMNLP 2020: 1-6 - [c12]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal. ICADL 2020: 407-415 - [e1]Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer:
Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-70-5 [contents]
2010 – 2019
- 2019
- [j1]Tirthankar Ghosal:
Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review. Bull. IEEE Tech. Comm. Digit. Libr. 15(1) (2019) - [c11]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya:
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. ACL (1) 2019: 1120-1130 - [c10]Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya:
To Comprehend the New: On Measuring the Freshness of a Document. IJCNN 2019: 1-8 - [c9]Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly Submissions. JCDL 2019: 227-236 - [c8]Tirthankar Ghosal, Ravi Sonam, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Is the Paper Within Scope? Are You Fishing in the Right Pond? JCDL 2019: 237-240 - [c7]Tirthankar Ghosal, Ananya Chakraborty, Ravi Sonam, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation. JCDL 2019: 374-375 - [c6]Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review. JCDL 2019: 392-393 - [c5]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya:
A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. JCDL 2019: 414-415 - 2018
- [c4]Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, George Tsatsaronis, Srinivasa Satya Sameer Kumar Chivukula:
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection. COLING 2018: 2802-2813 - [c3]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Investigating Impact Features in Editorial Pre-Screening of Research Papers. JCDL 2018: 333-334 - [c2]Tirthankar Ghosal, Amitra Salam, Swati Tiwary, Asif Ekbal, Pushpak Bhattacharyya:
TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. LREC 2018 - [i2]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
An AI aid to the editors. Exploring the possibility of an AI assisted article classification system. CoRR abs/1802.01403 (2018) - [i1]Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya:
TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. CoRR abs/1802.06950 (2018) - 2017
- [c1]Tanik Saikh, Tirthankar Ghosal, Asif Ekbal, Pushpak Bhattacharyya:
Document Level Novelty Detection: Textual Entailment Lends a Helping Hand. ICON 2017: 131-140
Coauthor Index
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last updated on 2024-10-22 21:17 CEST by the dblp team
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