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When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews

• Authors : Kumar, Sandeep; Ghosal, Tirthankar; Ekbal, Asif

Subjects: Computer Science - Computation and Language

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RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification

• Authors : Rana, Ashish; Khanna, Deepanshu; Ghosal, Tirthankar

Subjects: Computer Science - Computation and Language

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Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection

• Authors : Wahle, Jan Philip; Ashok, Nischal; Ruas, Terry

Subjects: Computer Science - Computation and Language; Computer Science - Artificial Intelligence; Computer Science - Machine Learning

• Source: iConference 2022

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DeepMetaGen: an unsupervised deep neural approach to generate template-based meta-reviews leveraging on aspect category and sentiment analysis from peer reviews.

• Authors : Kumar, Sandeep¹ (AUTHOR) ; Ghosal, Tirthankar² (AUTHOR); Ekbal, Asif¹ (AUTHOR)

• Source: International Journal on Digital Libraries. Dec2023, Vol. 24 Issue 4, p263-281. 19p.

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Identifying multimodal misinformation leveraging novelty detection and emotion recognition

• Authors : Kumari, Rina; Ashok, Nischal; Agrawal, Pawan Kumar

Subjects: Research

• Source: J Intell Inf Syst

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TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection

• Authors : Ghosal, Tirthankar; Salam, Amitra; Tiwari, Swati

Subjects: Computer Science - Computation and Language

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An AI aid to the editors. Exploring the possibility of an AI assisted article classification system

• Authors : Ghosal, Tirthankar; Verma, Rajeev; Ekbal, Asif

Subjects: Computer Science - Digital Libraries

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Who can submit an excellent review for this manuscript in the next 30 days? - Peer Reviewing in the age of overload ; 2023 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES, JCDL

• Authors : Alhoori, Hamed; Fox, Edward A.; Frommholz, Ingo

Subjects: Peer review; Scholarly publishing; Computer Science

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ScienceQA: a novel resource for question answering on scholarly articles

• Authors : Saikh, Tanik; Ghosal, Tirthankar; Mittal, Amish

Subjects: Article

• Source: Int J Digit Libr

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Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review

• Authors : Wang, Song; Lin, Mingquan; Ghosal, Tirthankar

Subjects: Article

• Source: Health Data Sci

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Peer review analyze: A novel benchmark resource for computational analysis of peer reviews

• Authors : Ghosal, Tirthankar; Kumar, Sandeep; Bharti, Prabhat Kumar

Subjects: Research Article

• Source: PLoS One

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What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion

• Authors : Kumari, Rina; Ashok, Nischal; Ghosal, Tirthankar

Subjects: Library and Information Sciences; Management Science and Operations Research; Computer Science Applications

• Source: Information Processing & Management ; volume 59, issue 1, page 102740 ; ISSN 0306-4573

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Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead

• Authors : Al Khatib, Khalid; Ghosal, Tirthankar; Hou, Yufang

• Source: Proceedings of the Second Workshop on Scholarly Document Processing

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INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers

• Authors : Arora, Hardik; Ghosal, Tirthankar; Kumar, Sandeep

• Source: Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)

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Towards Finding a Research Lineage Leveraging on Identification of Significant Citations.

• Authors : Ghosal, Tirthankar¹ ; Singh, Muskaan¹

• Source: Proceedings of the Association for Information Science & Technology. Oct2021, Vol. 58 Issue 1, p456-460. 5p.

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Overview of the First Workshop on Scholarly Document Processing (SDP)

• Authors : Chandrasekaran, Muthu Kumar; Feigenblat, Guy; Freitag, Dayne

• Source: Proceedings of the First Workshop on Scholarly Document Processing

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Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021

• Authors : Ghosal, Tirthankar; Al-Khatib, Khalid; Hou, Yufang

• Source: Ghosal , T , Al-Khatib , K , Hou , Y , de Waard , A & Freitag , D 2021 , ' Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021 ' , ACM

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Novelty Detection: A Perspective from Natural Language Processing.

• Authors : Ghosal, Tirthankar¹ (AUTHOR) ; Saikh, Tanik² (AUTHOR) ; Biswas, Tameesh² (AUTHOR)

• Source: Computational Linguistics. Mar2022, Vol. 48 Issue 1, p77-117. 41p.

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DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions

• Authors : Ghosal, Tirthankar; Verma, Rajeev; Ekbal, Asif

• Source: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

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Towards automated meta-review generation via an NLP/ML pipeline in different stages of the scholarly peer review process.

• Authors : Kumar, Asheesh (AUTHOR); Ghosal, Tirthankar¹ (AUTHOR) ; Bhattacharjee, Saprativa (AUTHOR)

• Source: International Journal on Digital Libraries. Apr2023, p1-12.

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Is your document novel? Let attention guide you. An attention-based model for document-level novelty detection.

• Authors : Ghosal, Tirthankar; Edithal, Vignesh; Ekbal, Asif

Subjects: NATURAL languages; MACHINE learning

• Source: Natural Language Engineering; Jul2021, Vol. 27 Issue 4, p427-454, 28p

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