Sudipta Kar
17 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Natural Language Processing
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Machine Learning
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(5)
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text classification
(6)
multilingual nlp
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named entity recognition
(4)
transformer model
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sentiment analysis
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aggression detection
(2)
multi-task learning
(2)
social media
(2)
noisy text
(2)
multi-view learning
(1)
emotion detection
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instruction tuning
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fine-grained classification
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fine-grained recognition
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conversational agent
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Papers
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
AAAI 2025
BnPC: A Gold Standard Corpus for Paraphrase Detection in Bangla, and its Evaluation
COLING 2024
Learning to Retrieve Engaging Follow-Up Queries
EACL 2023
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition
EMNLP 2023
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2)
SemEval 2023
MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition
COLING 2022
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
SemEval 2022
SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts
EMNLP 2021
Attending the Emotions to Detect Online Abusive Language
EMNLP 2020
Multi-view Story Characterization from Movie Plot Synopses and Reviews
EMNLP 2020
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
SemEval 2020
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
NAACL 2019
Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network
COLING 2018
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
NAACL 2018
RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification
COLING 2018
RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural Networks
SemEval 2017
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering
SemEval 2016