Tirthankar Ghosal - researchr alias

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Viewing Publication 1 - 55 from 55

2022

A Method for Automatically Estimating the Informativeness of Peer ReviewsPrabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal. icon-nlp 2022: 280-289 [doi]

How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review TextsPrabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal. das 2022: 126-139 [doi]

Can a Machine Generate a Meta-Review? How Far Are We?Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal. TSD 2022: 275-287 [doi]

Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article SimilarityNidhir Bhavsar, Rishikesh Devanathan, Aakash Bhatnagar, Muskaan Singh, Petr Motlícek, Tirthankar Ghosal. semeval 2022: 1163-1170 [doi]

Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer. COLING 2022: 263-267 [doi]

Overview of the Third Workshop on Scholarly Document ProcessingArman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr 0001, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang. COLING 2022: 1-6 [doi]

HedgePeer: a dataset for uncertainty detection in peer reviewsTirthankar Ghosal, Kamal Kaushik Varanasi, Valia Kordoni. JCDL 2022: 46 [doi]

Novelty Detection in Community Question Answering ForumsTirthankar Ghosal, Vignesh Edithal, Tanik Saikh, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya. paclic 2022: 525-532 [doi]

Novelty Detection: A Perspective from Natural Language ProcessingTirthankar Ghosal, Tanik Saikh, Tameesh Biswas, Asif Ekbal, Pushpak Bhattacharyya. coling, 48(1):77-117, 2022. [doi]

MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation DetectionVipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal. ijcnlp 2022: 464-477 [doi]

DeepASPeer: towards an aspect-level sentiment controllable framework for decision prediction from academic peer reviewsSandeep Kumar, Hardik Arora, Tirthankar Ghosal, Asif Ekbal. JCDL 2022: 29 [doi]

What the fake? Probing misinformation detection standing on the shoulder of novelty and emotionRina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal. ipm, 59(1):102740, 2022. [doi]

ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and CzechAnna Nedoluzhko, Muskaan Singh, Marie Hledíková, Tirthankar Ghosal, Ondrej Bojar. lrec 2022: 3174-3182 [doi]

RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim VerificationAshish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, Prashant Singh Rana. AAAI 2022: [doi]

ScienceQA: a novel resource for question answering on scholarly articlesTanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, Pushpak Bhattacharyya. jodl, 23(3):289-301, 2022. [doi]

An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature ReviewKartik Shinde, Trinita Roy, Tirthankar Ghosal. COLING 2022: 204-209 [doi]

Automatic Minuting: A Pipeline Method for Generating Minutes from Multi-Party Meeting ProceedingsKartik Shinde, Tirthankar Ghosal, Muskaan Singh, Ondrej Bojar. paclic 2022: 691-702 [doi]

The lack of theory is painful: Modeling Harshness in Peer Review CommentsRajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal. ijcnlp 2022: 925-935 [doi]

Testing the Generalization of Neural Language Models for COVID-19 Misinformation DetectionJan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, Bela Gipp. iconference 2022: 381-392 [doi]

2021

INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific PapersHardik Arora, Tirthankar Ghosal, Sandeep Kumar, Suraj Patwal, Phil Gooch. semeval 2021: 502-510 [doi]

PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review DecisionsPrabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal. ICADL 2021: 421-435 [doi]

BetterPR: A Dataset for Estimating the Constructiveness of Peer Review CommentsPrabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal. ercimdl 2022: 500-505 [doi]

Classification of Hate Offensive and Profane content from Tweets using an Ensemble of Deep Contextualized and Domain Specific RepresentationsBasavraj Chinagundi, Muskaan Singh, Tirthankar Ghosal, Prashant Singh Rana, Guneet Singh Kohli. fire 2022: 491-500 [doi]

Towards Finding a Research Lineage Leveraging on Identification of Significant CitationsTirthankar Ghosal, Muskaan Singh. asist 2021: 456-460 [doi]

Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021Tirthankar Ghosal, Khalid Al Khatib, Yufang Hou 0001, Anita de Waard, Dayne Freitag. sigir, 55(2), 2021. [doi]

Is your document novel? Let attention guide you. An attention-based model for document-level novelty detectionTirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Srinivasa Satya Sameer Kumar Chivukula, George Tsatsaronis 0001. nle, 27(4):427-454, 2021. [doi]

Studies in aspects of peer review: novelty, scope, research lineage, review significance, and peer review outcomeTirthankar Ghosal. sigir, 55(2), 2021. [doi]

Towards establishing a research lineage via identification of significant citationsTirthankar Ghosal, Piyush Tiwary, Robert M. Patton, Christopher G. Stahl. qss, 2(4):1511-1528, 2021. [doi]

Report on the SIGDial 2021 special session on summarization of dialogues and multi-party meetings (SummDial)Tirthankar Ghosal, Muskaan Singh, Anja Nedoluzhko, Ondrej Bojar. sigir, 55(2), 2021. [doi]

A Neuro-Symbolic Approach for Question Answering on Research ArticlesKomal Gupta, Tirthankar Ghosal, Asif Ekbal. paclic 2021: 40-49 [doi]

ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research PapersKomal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal. ICADL 2021: 436-452 [doi]

ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and RebuttalsGuneet Singh Kohli, Prabsimran Kaur, Muskaan Singh, Tirthankar Ghosal, Prashant Singh Rana. nlpcc 2021: 590-602 [doi]

A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript MatchmakingNishith Kotak, Anil K. Roy, Sourish Dasgupta, Tirthankar Ghosal. ICADL 2021: 277-287 [doi]

Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review PipelineAsheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal. ercimdl 2022: 216-229 [doi]

A Deep Neural Architecture for Decision-Aware Meta-Review GenerationAsheesh Kumar, Tirthankar Ghosal, Asif Ekbal. JCDL 2021: 222-225 [doi]

DataQuest: An Approach to Automatically Extract Dataset Mentions from Scientific PapersSandeep Kumar, Tirthankar Ghosal, Asif Ekbal. ICADL 2021: 43-53 [doi]

Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer ReviewsSandeep Kumar, Tirthankar Ghosal, Prabhat Kumar Bharti, Asif Ekbal. JCDL 2021: 270-273 [doi]

A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping HandRina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal. ijcnn 2021: 1-8 [doi]

Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognitionRina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal. ipm, 58(5):102631, 2021. [doi]

An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic MinutingMuskaan Singh, Tirthankar Ghosal, Ondrej Bojar. paclic 2021: 50-60 [doi]

Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer ReviewsRajeev Verma, Kartik Shinde, Hardik Arora, Tirthankar Ghosal. iconip 2021: 761-768 [doi]

2020

Overview of the First Workshop on Scholarly Document Processing (SDP)Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr 0001, Michal Shmueli-Scheuer, Anita de Waard. emnlp 2020: 1-6 [doi]

An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a JournalTirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha 0001, Pushpak Bhattacharyya. ICADL 2020: 407-415 [doi]

2019

A Sentiment Augmented Deep Architecture to Predict Peer Review OutcomesTirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya. JCDL 2019: 414-415 [doi]

To Comprehend the New: On Measuring the Freshness of a DocumentTirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya. ijcnn 2019: 1-8 [doi]

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review DecisionsTirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya. acl 2019: 1120-1130 [doi]

Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer ReviewTirthankar Ghosal. tcdl, 15(1), 2019. [doi]

A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly SubmissionsTirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha 0001, Pushpak Bhattacharyya. JCDL 2019: 227-236 [doi]

Is the Paper Within Scope? Are You Fishing in the Right Pond?Tirthankar Ghosal, Ravi Sonam, Asif Ekbal, Sriparna Saha 0001, Pushpak Bhattacharyya. JCDL 2019: 237-240 [doi]

A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer ReviewTirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha 0001, Pushpak Bhattacharyya. JCDL 2019: 392-393 [doi]

Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal RecommendationTirthankar Ghosal, Ananya Chakraborty, Ravi Sonam, Asif Ekbal, Sriparna Saha 0001, Pushpak Bhattacharyya. JCDL 2019: 374-375 [doi]

2018

2017

Document Level Novelty Detection: Textual Entailment Lends a Helping HandTanik Saikh, Tirthankar Ghosal, Asif Ekbal, Pushpak Bhattacharyya. icon-nlp 2017: 131-140 [doi]

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