Tirthankar Ghosal

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 73

Top Topics

Novelty Detection

Question Answering

Textual Entailment

Scientific Papers

Top Venues

Publications

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 (2024)
Tirthankar Ghosal, Kamal Kaushik Varanasi, Valia Kordoni
A Deep Multi-Tasking Approach Leveraging on Cited-Citing Paper Relationship For Citation Intent Classification. Scientometrics 129 (2) (2024)
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) (2024)
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)
Rina Kumari, Vipin Gupta, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
Emotion aided multi-task framework for video embedded misinformation detection. Multim. Tools Appl. 83 (12) (2024)
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. EMNLP (2023)
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)
Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal
MuP-SciDocSum: Leveraging Multi-perspective Peer Review Summaries for Scientific Document Summarization. ICADL (2) (2023)
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) (2023)
Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. SIGIR-AP (2023)
Hamed Alhoori, Edward A. Fox, Ingo Frommholz, Haiming Liu, Corinna Coupette, Bastian Rieck, Tirthankar Ghosal, Jian Wu
Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload. JCDL (2023)
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)
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews. CoRR (2023)
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
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) (2023)
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. iConference (1) (2022)
Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments. TPDL (2022)
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)
Ashish Rana, Deepanshu Khanna, Muskaan Singh, Tirthankar Ghosal, Harpreet Singh, Prashant Singh Rana
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. CoRR (2022)
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
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING (2022)
Rajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal
The lack of theory is painful: Modeling Harshness in Peer Review Comments. AACL/IJCNLP (1) (2022)
Kartik Shinde, Trinita Roy, Tirthankar Ghosal
An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review. SDP@COLING (2022)
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)
Asheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal
Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline. TPDL (2022)
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) (2022)
Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
A Method for Automatically Estimating the Informativeness of Peer Reviews. ICON (2022)
Tirthankar Ghosal, Tanik Saikh, Tameesh Biswas, Asif Ekbal, Pushpak Bhattacharyya
Novelty Detection: A Perspective from Natural Language Processing. Comput. Linguistics 48 (1) (2022)
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)
Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal
How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts. DAS (2022)
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)
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)
Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
Probing misinformation detection standing on the shoulder of novelty and emotion. Inf. Process. Manag. 59 (1) (2022)
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)
Kartik Shinde, Tirthankar Ghosal, Muskaan Singh, Ondrej Bojar
Automatic Minuting: A Pipeline Method for Generating Minutes from Multi-Party Meeting Proceedings. PACLIC (2022)
Tirthankar Ghosal, Vignesh Edithal, Tanik Saikh, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya
Novelty Detection in Community Question Answering Forums. PACLIC (2022)
Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal
Can a Machine Generate a Meta-Review? How Far Are We? TSD (2022)
Tirthankar Ghosal, Kamal Kaushik Varanasi, Valia Kordoni
HedgePeer: a dataset for uncertainty detection in peer reviews. JCDL (2022)
Komal Gupta, Tirthankar Ghosal, Asif Ekbal
A Neuro-Symbolic Approach for Question Answering on Research Articles. PACLIC (2021)
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)
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) (2021)
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)
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)
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) (2021)
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)
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 (2021)
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) (2021)
Nishith Kotak, Anil K. Roy, Sourish Dasgupta, Tirthankar Ghosal
A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript Matchmaking. ICADL (2021)
Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition. Inf. Process. Manag. 58 (5) (2021)
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
DataQuest: An Approach to Automatically Extract Dataset Mentions from Scientific Papers. ICADL (2021)
Tirthankar Ghosal
Studies in aspects of peer review: novelty, scope, research lineage, review significance, and peer review outcome. SIGIR Forum 55 (2) (2021)
Muskaan Singh, Tirthankar Ghosal, Ondrej Bojar
An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting. PACLIC (2021)
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) (2021)
Asheesh Kumar, Tirthankar Ghosal, Asif Ekbal
A Deep Neural Architecture for Decision-Aware Meta-Review Generation. JCDL (2021)
Tirthankar Ghosal, Muskaan Singh
Towards Finding a Research Lineage Leveraging on Identification of Significant Citations. ASIST (2021)
Prabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal
PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions. ICADL (2021)
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)
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)
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)
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)
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)
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya
A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. JCDL (2019)
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. ACL (1) (2019)
Tirthankar Ghosal
Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review. Bull. IEEE Tech. Comm. Digit. Libr. 15 (1) (2019)
Tirthankar Ghosal, Ravi Sonam, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
Is the Paper Within Scope? Are You Fishing in the Right Pond? JCDL (2019)
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)
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)
Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya
To Comprehend the New: On Measuring the Freshness of a Document. IJCNN (2019)
Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly Submissions. JCDL (2019)
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
Investigating Impact Features in Editorial Pre-Screening of Research Papers. JCDL (2018)
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 (2018)
Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya
TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. CoRR (2018)
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)
Tirthankar Ghosal, Amitra Salam, Swati Tiwary, Asif Ekbal, Pushpak Bhattacharyya
TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. LREC (2018)
Tanik Saikh, Tirthankar Ghosal, Asif Ekbal, Pushpak Bhattacharyya
Document Level Novelty Detection: Textual Entailment Lends a Helping Hand. ICON (2017)