| 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 | 649 | 2011 |
| Generalizing word lattice translation C Dyer, S Muresan, P Resnik MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES, 2008 | 193 | 2008 |
| 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 | 108 | 2014 |
| 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 | 94 | 2015 |
| Evaluation of the DEFINDER system for fully automatic glossary construction. JL Klavans, S Muresan Proceedings of the AMIA Symposium, 324, 2001 | 90 | 2001 |
| A method for automatically building and evaluating dictionary resources A Muresan, J Klavans Proceedings of the Language Resources and Evaluation Conference (LREC, 2002 | 87 | 2002 |
| 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 |
| 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 | 76 | 2001 |
| 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, 11-21, 2017 | 66 | 2017 |
| 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 | 61 | 2016 |
| Evaluation of DEFINDER: A system to mine definitions from consumer-oriented medical text JL Klavans, S Muresan Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries …, 2001 | 46 | 2001 |
| 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 | 45 | 2016 |
| 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 | 44 | 2018 |
| Grounding English Commands to Reward Functions. J MacGlashan, M Babes-Vroman, Marie desJardins, ML Littman, ... Robotics: Science and Systems, 2015 | 42 | 2015 |
| The role of conversation context for sarcasm detection in online interactions D Ghosh, AR Fabbri, S Muresan arXiv preprint arXiv:1707.06226, 2017 | 41 | 2017 |
| Ampersand: Argument mining for persuasive online discussions T Chakrabarty, C Hidey, S Muresan, K McKeown, A Hwang arXiv preprint arXiv:2004.14677, 2020 | 40 | 2020 |
| System and method of generating dictionary entries JL Klavans, S Muresan US Patent 7,254,530, 2007 | 39 | 2007 |
| Sarcasm analysis using conversation context D Ghosh, AR Fabbri, S Muresan Computational Linguistics 44 (4), 755-792, 2018 | 38 | 2018 |
| Towards feasible guidelines for the annotation of argument schemes E Musi, D Ghosh, S Muresan Proceedings of the third workshop on argument mining (ArgMining2016), 82-93, 2016 | 36 | 2016 |
| Combining social cognitive theories with linguistic features for multi-genre sentiment analysis H Li, Y Chen, H Ji, S Muresan, D Zheng Proceedings of the 26th Pacific Asia Conference on Language, Information …, 2012 | 36 | 2012 |
