Tirthankar Ghosal

Orcid: 0000-0002-2358-522X

According to our database1, Tirthankar Ghosal authored at least 68 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Emotion aided multi-task framework for video embedded misinformation detection.
Multim. Tools Appl., April, 2024

PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review.
Int. J. Digit. Libr., March, 2024

A Deep Multi-Tasking Approach Leveraging on Cited-Citing Paper Relationship For Citation Intent Classification.
Scientometrics, February, 2024

2023
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., December, 2023

Identifying multimodal misinformation leveraging novelty detection and emotion recognition.
J. Intell. Inf. Syst., December, 2023

When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews.
CoRR, 2023

ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Deciphering the Reviewer's Aspectual Perspective: A Joint Multitask Framework for Aspect and Sentiment Extraction from Scholarly Peer Reviews.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023.
Proceedings of the 16th International Natural Language Generation Conference, 2023

MuP-SciDocSum: Leveraging Multi-perspective Peer Review Summaries for Scientific Document Summarization.
Proceedings of the Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration, 2023

When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
ScienceQA: a novel resource for question answering on scholarly articles.
Int. J. Digit. Libr., 2022

<i>What the fake?</i> Probing misinformation detection standing on the shoulder of novelty and emotion.
Inf. Process. Manag., 2022

Novelty Detection: A Perspective from Natural Language Processing.
Comput. Linguistics, 2022

Can a Machine Generate a Meta-Review? How Far Are We?
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022

Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Automatic Minuting: A Pipeline Method for Generating Minutes from Multi-Party Meeting Proceedings.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

Novelty Detection in Community Question Answering Forums.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

DeepASPeer: towards an aspect-level sentiment controllable framework for decision prediction from academic peer reviews.
Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

HedgePeer: a dataset for uncertainty detection in peer reviews.
Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

The lack of theory is painful: Modeling Harshness in Peer Review Comments.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection.
Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

A Method for Automatically Estimating the Informativeness of Peer Reviews.
Proceedings of the 19th International Conference on Natural Language Processing, 2022

Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline.
Proceedings of the Linking Theory and Practice of Digital Libraries, 2022

BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments.
Proceedings of the Linking Theory and Practice of Digital Libraries, 2022

How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts.
Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review.
Proceedings of the Third Workshop on Scholarly Document Processing, 2022

Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP).
Proceedings of the Third Workshop on Scholarly Document Processing, 2022

Overview of the Third Workshop on Scholarly Document Processing.
Proceedings of the Third Workshop on Scholarly Document Processing, 2022

RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021
Report on the SIGDial 2021 special session on summarization of dialogues and multi-party meetings (SummDial).
SIGIR Forum, 2021

Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021.
SIGIR Forum, 2021

Studies in aspects of peer review: novelty, scope, research lineage, review significance, and peer review outcome.
SIGIR Forum, 2021

Towards establishing a research lineage via identification of significant citations.
Quant. Sci. Stud., 2021

Is your document novel? Let attention guide you. An attention-based model for document-level novelty detection.
Nat. Lang. Eng., 2021

Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition.
Inf. Process. Manag., 2021

INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

A Neuro-Symbolic Approach for Question Answering on Research Articles.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

A Deep Neural Architecture for Decision-Aware Meta-Review Generation.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand.
Proceedings of the International Joint Conference on Neural Networks, 2021

Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

DataQuest: An Approach to Automatically Extract Dataset Mentions from Scientific Papers.
Proceedings of the Towards Open and Trustworthy Digital Societies, 2021

A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript Matchmaking.
Proceedings of the Towards Open and Trustworthy Digital Societies, 2021

ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers.
Proceedings of the Towards Open and Trustworthy Digital Societies, 2021

PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions.
Proceedings of the Towards Open and Trustworthy Digital Societies, 2021

Classification of Hate Offensive and Profane content from Tweets using an Ensemble of Deep Contextualized and Domain Specific Representations.
Proceedings of the Working Notes of FIRE 2021, 2021

Towards Finding a Research Lineage Leveraging on Identification of Significant Citations.
Proceedings of the Information: Equity, Diversity, Inclusion, Justice, and Relevance, 2021

2020
An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal.
Proceedings of the Digital Libraries at Times of Massive Societal Transition, 2020

Overview of the First Workshop on Scholarly Document Processing (SDP).
Proceedings of the First Workshop on Scholarly Document Processing, 2020

2019
Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review.
Bull. IEEE Tech. Comm. Digit. Libr., 2019

A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Is the Paper Within Scope? Are You Fishing in the Right Pond?
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly Submissions.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

To Comprehend the New: On Measuring the Freshness of a Document.
Proceedings of the International Joint Conference on Neural Networks, 2019

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
An AI aid to the editors. Exploring the possibility of an AI assisted article classification system.
CoRR, 2018

TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Investigating Impact Features in Editorial Pre-Screening of Research Papers.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Document Level Novelty Detection: Textual Entailment Lends a Helping Hand.
Proceedings of the 14th International Conference on Natural Language Processing, 2017


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