Tirthankar Ghosal

104 papers A* 3B 8C 4Journal 43Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents. CoRR Ethan Seefried, Ran Eldegaway, Sanjay Das, Nathaniel Blanchard, Tirthankar Ghosal
2026	J	`jnl`	Enginuity: Building an Open Multi-Domain Dataset of Complex Engineering Diagrams. CoRR Ethan Seefried, Prahitha Movva, Naga Harshita Marupaka, Tilak Kasturi, Tirthankar Ghosal
2026	J	`jnl`	From reviews to decisions: A joint multitask aspect sentiment leveraged framework for assisting decision prediction from academic peer reviews. Scientometrics Sandeep Kumar, Hardik Arora, Tirthankar Ghosal, Asif Ekbal
2026	J	`jnl`	Predicting New Concept-Object Associations in Astronomy by Mining the Literature. CoRR Jinchu Li, Yuan-Sen Ting, Alberto Accomazzi, Tirthankar Ghosal, Nesar Ramachandra
2025	J	`jnl`	A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models. CoRR Atilla Kaan Alkan, Shashwat Sourav, Maja Jablonska, Simone Astarita, Rishabh Chakrabarty, Nikhil Garuda, Pranav Khetarpal, Maciej Pióro, Dimitrios Tanoglidis, Kartheik Iyer, Mugdha Polimera, Michael J. Smith, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca
2025	J	`jnl`	A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions. CoRR Agada Joseph Oche, Ademola Glory Folashade, Tirthankar Ghosal, Arpan Biswas
2025	—	`conf`	AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. SC Workshops Daniel Rosendo, Stephen Dewitt, Renan Souza, Phillipe Austria, Tirthankar Ghosal, Marshall T. McDonnell, Ross Miller, Tyler J. Skluzacek, James Haley, Bruno Turcksin, Jesse McGaha, Benjamin Mintz, Feiyi Wang, Mallikarjun Shankar, Sarp Oral, Rafael Ferreira da Silva
2025	J	`jnl`	AstroMLab 1: Who wins astronomy jeopardy!? Astron. Comput. 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
2025	J	`jnl`	AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model. CoRR Tijmen de Haan, Yuan-Sen Ting, Tirthankar Ghosal, Tuan Dung Nguyen, Alberto Accomazzi, Emily Herron, Vanessa Lama, Rui Pan, Azton Wells, Nesar Ramachandra
2025	A*	`conf`	Can Large Language Models Unlock Novel Scientific Research Ideas? EMNLP Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal
2025	—	`conf`	Compute4Biology: Taking Stock of High Performance Computing Needs for Foundation Models in Biological Sciences. SC Workshops Pratik Dutta, Tirthankar Ghosal
2025	J	`jnl`	EPIC: Generative AI Platform for Accelerating HPC Operational Data Analytics. CoRR Ahmad Maroof Karimi, Woong Shin, Jesse Hines, Tirthankar Ghosal, Naw Safrin Sattar, Feiyi Wang
2025	J	`jnl`	Findings of the Third Automatic Minuting (AutoMin) Challenge. CoRR Kartik Shinde, Laurent Besacier, Ondrej Bojar, Thibaut Thonet, Tirthankar Ghosal
2025	J	`jnl`	HARNESS: Human-Agent Risk Navigation and Event Safety System for Proactive Hazard Forecasting in High-Risk DOE Environments. CoRR Ran Elgedawy, Sanjay Das, Ethan Seefried, Gavin M. Wiggins, Ryan Burchfield, Dana Hewit, Sudarshan Srinivasan, Todd Thomas, Prasanna Balaprakash, Tirthankar Ghosal
2025	—	`conf`	MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews. NAACL (Short Papers) Sandeep Kumar, Samarth Garg, Sagnik Sengupta, Tirthankar Ghosal, Asif Ekbal
2025	J	`jnl`	ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property. CoRR Maria Mahbub, Vanessa Lama, Sanjay Das, Brian Starks, Christopher Polchek, Saffell Silvers, Lauren Deck, Prasanna Balaprakash, Tirthankar Ghosal
2025	—	`conf`	PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows. eScience Renan Souza, Amal Gueroudji, Stephen Dewitt, Daniel Rosendo, Tirthankar Ghosal, Robert B. Ross, Prasanna Balaprakash, Rafael Ferreira da Silva
2025	J	`jnl`	PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows. CoRR Renan Souza, Amal Gueroudji, Stephen Dewitt, Daniel Rosendo, Tirthankar Ghosal, Robert B. Ross, Prasanna Balaprakash, Rafael Ferreira da Silva
2025	J	`jnl`	Sparks of Science: Hypothesis Generation Using Structured Paper Data. CoRR Charles O'Neill, Tirthankar Ghosal, Roberta Raileanu, Mike Walmsley, Thang D. Bui, Kevin Schawinski, Ioana Ciuca
2025	J	`jnl`	Toward Automatic Dataset Discovery From Scientific Publications. IEEE Access Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
2025	J	`jnl`	chatHPC: Empowering HPC users with large language models. J. Supercomput. Junqi Yin, Jesse Hines, Emily Herron, Tirthankar Ghosal, Hong Liu, Suzanne Prentice, Vanessa Lama, Feiyi Wang
2024	A*	`conf`	'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews. EMNLP Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal
2024	J	`jnl`	'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews. CoRR Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal
2024	J	`jnl`	A BERT-based sequential deep neural architecture to identify contribution statements and extract phrases for triplets from scientific publications. Int. J. Digit. Libr. Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal
2024	J	`jnl`	A Deep Multi-Tasking Approach Leveraging on Cited-Citing Paper Relationship For Citation Intent Classification. Scientometrics Tirthankar Ghosal, Kamal Kaushik Varanasi, Valia Kordoni
2024	J	`jnl`	AstroMLab 1: Who Wins Astronomy Jeopardy!? CoRR 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
2024	—	`conf`	AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. SC Workshops Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting
2024	J	`jnl`	AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. CoRR Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting
2024	J	`jnl`	Can Large Language Models Unlock Novel Scientific Research Ideas? CoRR Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal
2024	J	`jnl`	Emotion aided multi-task framework for video embedded misinformation detection. Multim. Tools Appl. Rina Kumari, Vipin Gupta, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
2024	—	`conf`	Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles. LREC/COLING Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal
2024	J	`jnl`	PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review. Int. J. Digit. Libr. Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
2024	J	`jnl`	SciND: a new triplet-based dataset for scientific novelty detection via knowledge graphs. Int. J. Digit. Libr. Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal
2024	J	`jnl`	Towards automated meta-review generation via an NLP/ML pipeline in different stages of the scholarly peer review process. Int. J. Digit. Libr. Asheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal
2024	J	`jnl`	pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR Kartheik Iyer, Mikaeel Yunus, Charles O'Neill, Christine Ye, Alina Hyk, Kiera McCormick, Ioana Ciuca, John F. Wu, Alberto Accomazzi, Simone Astarita, Rishabh Chakrabarty, Jesse Cranney, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, Jill P. Naiman, Joshua E. G. Peek, Mugdha Polimera, Sergio J. Rodríguez Méndez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley
2023	—	`conf`	Deciphering the Reviewer's Aspectual Perspective: A Joint Multitask Framework for Aspect and Sentiment Extraction from Scholarly Peer Reviews. JCDL Hardik Arora, Kartik Shinde, Tirthankar Ghosal
2023	J	`jnl`	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. Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
2023	J	`jnl`	Identifying multimodal misinformation leveraging novelty detection and emotion recognition. J. Intell. Inf. Syst. Rina Kumari, Nischal Ashok, Pawan Kumar Agrawal, Tirthankar Ghosal, Asif Ekbal
2023	—	`conf`	MuP-SciDocSum: Leveraging Multi-perspective Peer Review Summaries for Scientific Document Summarization. ICADL (2) Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal
2023	—	`conf`	Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023. INLG (Generation Challenges) Tirthankar Ghosal, Ondrej Bojar, Marie Hledíková, Tom Kocmi, Anna Nedoluzhko
2023	—	`conf`	ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. SIGIR-AP Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya
2023	J	`jnl`	When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews. CoRR Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
2023	A*	`conf`	When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. EMNLP Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
2023	—	`conf`	Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload. JCDL Hamed Alhoori, Edward A. Fox, Ingo Frommholz, Haiming Liu, Corinna Coupette, Bastian Rieck, Tirthankar Ghosal, Jian Wu
2022	—	`conf`	A Method for Automatically Estimating the Informativeness of Peer Reviews. ICON Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
2022	—	`conf`	An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review. SDP@COLING Kartik Shinde, Trinita Roy, Tirthankar Ghosal
2022	C	`conf`	Automatic Minuting: A Pipeline Method for Generating Minutes from Multi-Party Meeting Proceedings. PACLIC Kartik Shinde, Tirthankar Ghosal, Muskaan Singh, Ondrej Bojar
2022	B	`conf`	BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments. TPDL Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
2022	—	`conf`	Can a Machine Generate a Meta-Review? How Far Are We? TSD Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal
2022	—	`conf`	DeepASPeer: towards an aspect-level sentiment controllable framework for decision prediction from academic peer reviews. JCDL Sandeep Kumar, Hardik Arora, Tirthankar Ghosal, Asif Ekbal
2022	B	`conf`	ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech. LREC Anna Nedoluzhko, Muskaan Singh, Marie Hledíková, Tirthankar Ghosal, Ondrej Bojar
2022	—	`conf`	HedgePeer: a dataset for uncertainty detection in peer reviews. JCDL Tirthankar Ghosal, Kamal Kaushik Varanasi, Valia Kordoni
2022	B	`conf`	How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts. DAS Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal
2022	B	`conf`	Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline. TPDL Asheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal
2022	—	`conf`	MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection. AACL/IJCNLP (Findings) Vipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
2022	C	`conf`	Novelty Detection in Community Question Answering Forums. PACLIC Tirthankar Ghosal, Vignesh Edithal, Tanik Saikh, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya
2022	J	`jnl`	Novelty Detection: A Perspective from Natural Language Processing. Comput. Linguistics Tirthankar Ghosal, Tanik Saikh, Tameesh Biswas, Asif Ekbal, Pushpak Bhattacharyya
2022	—	`conf`	Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). SDP@COLING Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer
2022	—	`conf`	Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING 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
2022	—	`ed.`	Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022 SDP@COLING 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
2022	—	`conf`	RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. SDU@AAAI Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, Prashant Singh Rana
2022	J	`jnl`	RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. CoRR Ashish Rana, Deepanshu Khanna, Muskaan Singh, Tirthankar Ghosal, Harpreet Singh, Prashant Singh Rana
2022	J	`jnl`	ScienceQA: a novel resource for question answering on scholarly articles. Int. J. Digit. Libr. Tanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, Pushpak Bhattacharyya
2022	—	`conf`	Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity. SemEval@NAACL Nidhir Bhavsar, Rishikesh Devanathan, Aakash Bhatnagar, Muskaan Singh, Petr Motlícek, Tirthankar Ghosal
2022	—	`conf`	Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection. iConference (1) Jan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, Bela Gipp
2022	—	`conf`	The lack of theory is painful: Modeling Harshness in Peer Review Comments. AACL/IJCNLP (1) Rajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal
2021	—	`conf`	A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript Matchmaking. ICADL Nishith Kotak, Anil K. Roy, Sourish Dasgupta, Tirthankar Ghosal
2021	—	`conf`	A Deep Neural Architecture for Decision-Aware Meta-Review Generation. JCDL Asheesh Kumar, Tirthankar Ghosal, Asif Ekbal
2021	B	`conf`	A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand. IJCNN Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
2021	C	`conf`	A Neuro-Symbolic Approach for Question Answering on Research Articles. PACLIC Komal Gupta, Tirthankar Ghosal, Asif Ekbal
2021	—	`conf`	ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals. NLPCC (2) Guneet Singh Kohli, Prabsimran Kaur, Muskaan Singh, Tirthankar Ghosal, Prashant Singh Rana
2021	C	`conf`	An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting. PACLIC Muskaan Singh, Tirthankar Ghosal, Ondrej Bojar
2021	—	`conf`	Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews. ICONIP (6) Rajeev Verma, Kartik Shinde, Hardik Arora, Tirthankar Ghosal
2021	—	`conf`	Classification of Hate Offensive and Profane content from Tweets using an Ensemble of Deep Contextualized and Domain Specific Representations. FIRE (Working Notes) Basavraj Chinagundi, Muskaan Singh, Tirthankar Ghosal, Prashant Singh Rana, Guneet Singh Kohli
2021	—	`conf`	ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers. ICADL Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal
2021	—	`conf`	DataQuest: An Approach to Automatically Extract Dataset Mentions from Scientific Papers. ICADL Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
2021	—	`conf`	INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers. SemEval@ACL/IJCNLP Hardik Arora, Tirthankar Ghosal, Sandeep Kumar, Suraj Patwal, Phil Gooch
2021	J	`jnl`	Is your document novel? Let attention guide you. An attention-based model for document-level novelty detection. Nat. Lang. Eng. Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Srinivasa Satya Sameer Kumar Chivukula, George Tsatsaronis
2021	J	`jnl`	Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition. Inf. Process. Manag. Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal
2021	—	`conf`	PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions. ICADL Prabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal
2021	J	`jnl`	Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021. SIGIR Forum Tirthankar Ghosal, Khalid Al Khatib, Yufang Hou, Anita de Waard, Dayne Freitag
2021	J	`jnl`	Report on the SIGDial 2021 special session on summarization of dialogues and multi-party meetings (SummDial). SIGIR Forum Tirthankar Ghosal, Muskaan Singh, Anja Nedoluzhko, Ondrej Bojar
2021	—	`conf`	Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews. JCDL Sandeep Kumar, Tirthankar Ghosal, Prabhat Kumar Bharti, Asif Ekbal
2021	J	`jnl`	Studies in aspects of peer review: novelty, scope, research lineage, review significance, and peer review outcome. SIGIR Forum Tirthankar Ghosal
2021	J	`jnl`	Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection. CoRR Jan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, Bela Gipp
2021	—	`conf`	Towards Finding a Research Lineage Leveraging on Identification of Significant Citations. ASIST Tirthankar Ghosal, Muskaan Singh
2021	J	`jnl`	Towards establishing a research lineage via identification of significant citations. Quant. Sci. Stud. Tirthankar Ghosal, Piyush Tiwary, Robert M. Patton, Christopher G. Stahl
2020	—	`conf`	An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal. ICADL Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2020	—	`conf`	Overview of the First Workshop on Scholarly Document Processing (SDP). SDP@EMNLP Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard
2020	—	`ed.`	Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020 SDP@EMNLP 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
2019	—	`conf`	A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly Submissions. JCDL Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2019	—	`conf`	A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review. JCDL Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2019	—	`conf`	A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. JCDL Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya
2019	—	`conf`	DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. ACL (1) Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya
2019	J	`jnl`	Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review. Bull. IEEE Tech. Comm. Digit. Libr. Tirthankar Ghosal
2019	—	`conf`	Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation. JCDL Tirthankar Ghosal, Ananya Chakraborty, Ravi Sonam, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2019	—	`conf`	Is the Paper Within Scope? Are You Fishing in the Right Pond? JCDL Tirthankar Ghosal, Ravi Sonam, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2019	B	`conf`	To Comprehend the New: On Measuring the Freshness of a Document. IJCNN Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya
2018	J	`jnl`	An AI aid to the editors. Exploring the possibility of an AI assisted article classification system. CoRR Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2018	—	`conf`	Investigating Impact Features in Editorial Pre-Screening of Research Papers. JCDL Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya
2018	B	`conf`	Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection. COLING Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, George Tsatsaronis, Srinivasa Satya Sameer Kumar Chivukula
2018	B	`conf`	TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. LREC Tirthankar Ghosal, Amitra Salam, Swati Tiwary, Asif Ekbal, Pushpak Bhattacharyya
2018	J	`jnl`	TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. CoRR Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya
2017	—	`conf`	Document Level Novelty Detection: Textual Entailment Lends a Helping Hand. ICON Tanik Saikh, Tirthankar Ghosal, Asif Ekbal, Pushpak Bhattacharyya