Identifying sarcasm in twitter: a closer look R González-Ibánez, S Muresan, N Wacholder
Proceedings of the 49th annual meeting of the association for computational …, 2011
883 2011 Where is your evidence: Improving fact-checking by justification modeling T Alhindi, S Petridis, S Muresan
Proceedings of the first workshop on fact extraction and verification (FEVER …, 2018
204 2018 Generalizing word lattice translation C Dyer, S Muresan, P Resnik
Proceedings of ACL-08: HLT, 1012-1020, 2008
204 2008 Sarcastic or not: Word embeddings to predict the literal or sarcastic meaning of words D Ghosh, W Guo, S Muresan
proceedings of the 2015 conference on empirical methods in natural language …, 2015
144 2015 Analyzing the semantic types of claims and premises in an online persuasive forum C Hidey, E Musi, A Hwang, S Muresan, K McKeown
Proceedings of the 4th Workshop on Argument Mining, 2017
139 2017 AMPERSAND: Argument mining for PERSuAsive oNline discussions T Chakrabarty, C Hidey, S Muresan, K McKeown, A Hwang
arXiv preprint arXiv:2004.14677, 2020
129 2020 Analyzing argumentative discourse units in online interactions D Ghosh, S Muresan, N Wacholder, M Aakhus, M Mitsui
Proceedings of the first workshop on argumentation mining, 39-48, 2014
127 2014 Fine-tuned language models are continual learners T Scialom, T Chakrabarty, S Muresan
arXiv preprint arXiv:2205.12393, 2022
121 * 2022 COVID-fact: Fact extraction and verification of real-world claims on COVID-19 pandemic A Saakyan, T Chakrabarty, S Muresan
arXiv preprint arXiv:2106.03794, 2021
120 2021 Sarcasm analysis using conversation context D Ghosh, AR Fabbri, S Muresan
Computational Linguistics 44 (4), 755-792, 2018
104 2018 Art or artifice? large language models and the false promise of creativity T Chakrabarty, P Laban, D Agarwal, S Muresan, CS Wu
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024
103 2024 The role of conversation context for sarcasm detection in online interactions D Ghosh, AR Fabbri, S Muresan
arXiv preprint arXiv:1707.06226, 2017
95 2017 A Method for Automatically Building and Evaluating Dictionary Resources. S Muresan, J Klavans
LREC 2, 231-234, 2002
93 2002 Evaluation of the DEFINDER system for fully automatic glossary construction JL Klavans, S Muresan
Proceedings of the AMIA Symposium, 324, 2001
91 2001 Combining linguistic and machine learning techniques for email summarization S Muresan, E Tzoukermann, JL Klavans
Proceedings of the ACL 2001 Workshop on Computational Natural Language …, 2001
90 2001 Coarse-grained argumentation features for scoring persuasive essays D Ghosh, A Khanam, Y Han, S Muresan
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
87 2016 DEFINDER: Rule-based methods for the extraction of medical terminology and their associated definitions from on-line text JL Klavans, S Muresan
Proceedings of the AMIA Symposium, 1049, 2000
85 2000 T Chakrabarty, D Ghosh, S Muresan, N Peng
arXiv preprint arXiv:2004.13248, 2020
84 2020 Identification of nonliteral language in social media: A case study on sarcasm S Muresan, R Gonzalez‐Ibanez, D Ghosh, N Wacholder
Journal of the Association for Information Science and Technology 67 (11 …, 2016
74 2016 MERMAID: Metaphor generation with symbolism and discriminative decoding T Chakrabarty, X Zhang, S Muresan, N Peng
arXiv preprint arXiv:2103.06779, 2021
73 2021 
Tuhin ChakrabartyStony Brook University , Department of Computer ScienceВерификована је имејл адреса на columbia.edu
