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Tuhin Chakrabarty
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Content planning for neural story generation with aristotelian rescoring
S Goldfarb-Tarrant, T Chakrabarty, R Weischedel, N Peng
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1062020
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
T Chakrabarty, C Hidey, S Muresan, K Mckeown, A Hwang
EMNLP 2019 , 2933–2943, 2020
1042020
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
A Saakyan, T Chakrabarty, S Muresan
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
842021
: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
T Chakrabarty, D Ghosh, S Muresan, N Peng
ACL 2020, 7976–7986, 2020
672020
IMHO Fine-Tuning Improves Claim Detection
T Chakrabarty, C Hidey, K McKeown
NAACL 2019, 558–563, 2019
612019
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation
T Chakrabarty, S Muresan, N Peng
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
602020
Fine-tuned Language Models are Continual Learners
T Scialom, T Chakrabarty, S Muresan
EMNLP 2022, 2022
56*2022
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
T Chakrabarty, X Zhang, S Muresan, N Peng
2021 Annual Conference of the North American Chapter of the Association for …, 2021
502021
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
C Hidey, T Chakrabarty, T Alhindi, S Varia, K Krstovski, M Diab, ...
ACL 2020,8593–8606, 2020
452020
It’s not Rocket Science: Interpreting Figurative Language in Narratives
T Chakrabarty, Y Choi, V Shwartz
Transactions of the Association for Computational Linguistics 10, 589-606, 2022
422022
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing
T Chakrabarty, V Padmakumar, H He
EMNLP 2022, 2022
402022
Pay “Attention” to your Context when Classifying Abusive Language
T Chakrabarty, K Gupta, S Muresan
Proceedings of the Third Workshop on Abusive Language Online, 70-79, 2019
402019
FLUTE: Figurative Language Understanding through Textual Explanations
T Chakrabarty, A Saakyan, D Ghosh, S Muresan
EMNLP 2022, 2022
36*2022
Metaphor Generation with Conceptual Mappings
K Stowe, T Chakrabarty, N Peng, S Muresan, I Gurevych
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
312021
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
T Chakrabarty, T Alhindi, S Muresan
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018
252018
Figurative Language in Recognizing Textual Entailment
T Chakrabarty, D Ghosh, A Poliak, S Muresan
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
242021
Discourse relation prediction: Revisiting word pairs with convolutional networks
S Varia, C Hidey, T Chakrabarty
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue …, 2019
212019
MFRED, 10 second interval real and reactive power for groups of 390 US apartments of varying size and vintage
CJ Meinrenken, N Rauschkolb, S Abrol, T Chakrabarty, VC Decalf, ...
Scientific Data 7 (1), 375, 2020
202020
NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
YR Fung, T Chakraborty, H Guo, O Rambow, S Muresan, H Ji
arXiv preprint arXiv:2210.08604, 2022
192022
I spy a metaphor: Large language models and diffusion models co-create visual metaphors
T Chakrabarty, A Saakyan, O Winn, A Panagopoulou, Y Yang, ...
arXiv preprint arXiv:2305.14724, 2023
172023
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Articles 1–20