Tirthankar Ghosal
37 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Academic Marathon (7) π§ Keyword Pioneer π Conference Polyglot (7) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(42)
π
Keyword Champion
(3)
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π
Century Club
(34)
ποΈ
Keyword Collector
(113)
π₯
Unstoppable
(8)
β
The Questioner
(2)
β‘
Prolific Year
(6)
Conferences
AACL (8)
IJCNLP (7)
EMNLP (6)
COLING (5)
NAACL (5)
ACL (4)
SEMEVAL (2)
Top co-authors
Keywords
information extraction
(8)
natural language processing
(7)
text classification
(6)
scholarly document processing
(5)
information retrieval
(5)
peer review
(4)
document summarization
(3)
data mining
(3)
large language model
(3)
knowledge graph
(3)
scholarly document
(3)
dependency parsing
(3)
scientific literature
(3)
scientific text
(3)
named entity recognition
(2)
concept extraction
(2)
sentiment analysis
(2)
ai-generated text detection
(2)
machine translation
(2)
convolutional neural network
(2)
Papers
Overview of the Third Workshop for Artificial Intelligence for Scientific Publications
IJCNLP 2025
Can Large Language Models Unlock Novel Scientific Research Ideas?
EMNLP 2025
Overview of TRACS: the Telescope Reference and Astronomy Categorization Dataset & Shared Task
AACL 2025
Overview of the Third Workshop for Artificial Intelligence for Scientific Publications
AACL 2025
MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews.
NAACL 2025
AstroMLab 5: Structured Summaries and Concept Extraction for 400,000 Astrophysics Papers
IJCNLP 2025
Overview of TRACS: the Telescope Reference and Astronomy Categorization Dataset & Shared Task
IJCNLP 2025
AstroMLab 5: Structured Summaries and Concept Extraction for 400,000 Astrophysics Papers
AACL 2025
Overview of the Fifth Workshop on Scholarly Document Processing
ACL 2025
Benchmarking Automated Theorem Proving with Large Language Models
EMNLP 2024
Overview of the Fourth Workshop on Scholarly Document Processing
ACL 2024
Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles
COLING 2024
βQuis custodiet ipsos custodes?β Who will watch the watchmen? On Detecting AI-generated peer-reviews
EMNLP 2024
Exploring Scientific Hypothesis Generation with Mamba
EMNLP 2024
Function of Citation in Astrophysics Literature (FOCAL): Findings of the Shared Task
IJCNLP 2023
APCS: Towards Argument Based Pros and Cons Summarization of Peer Reviews
AACL 2023
When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews
EMNLP 2023
Function of Citation in Astrophysics Literature (FOCAL): Findings of the Shared Task
AACL 2023
APCS: Towards Argument Based Pros and Cons Summarization of Peer Reviews
IJCNLP 2023
The lack of theory is painful: Modeling Harshness in Peer Review Comments
IJCNLP 2022
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)
COLING 2022
An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review
COLING 2022
MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection
AACL 2022
Overview of the First Shared Task on Detecting Entities in the Astrophysics Literature (DEAL)
AACL 2022
The lack of theory is painful: Modeling Harshness in Peer Review Comments
AACL 2022
Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity
NAACL 2022
Overview of the Third Workshop on Scholarly Document Processing
COLING 2022
Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity
SEMEVAL 2022
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers
ACL 2021
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers
IJCNLP 2021
Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead
NAACL 2021
IITP-CUNI@3C: Supervised Approaches for Citation Classification (Task A) and Citation Significance Detection (Task B)
NAACL 2021
Overview of the Second Workshop on Scholarly Document Processing
NAACL 2021
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers
SEMEVAL 2021
Overview of the First Workshop on Scholarly Document Processing (SDP)
EMNLP 2020
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions
ACL 2019
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection
COLING 2018