Obserwuj
Smaranda Muresan
Smaranda Muresan
Zweryfikowany adres z ccls.columbia.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
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
8332011
Generalizing word lattice translation
C Dyer, S Muresan, P Resnik
Proceedings of ACL-08: HLT, 1012-1020, 2008
2012008
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
1482018
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
1302015
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
1232017
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
1232014
AMPERSAND: Argument mining for PERSuAsive oNline discussions
T Chakrabarty, C Hidey, S Muresan, K McKeown, A Hwang
arXiv preprint arXiv:2004.14677, 2020
1042020
Evaluation of the DEFINDER system for fully automatic glossary construction.
JL Klavans, S Muresan
Proceedings of the AMIA Symposium, 324, 2001
932001
A method for automatically building and evaluating dictionary resources
JL Klavans, S Muresan
912002
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
882001
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
872000
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
842021
The role of conversation context for sarcasm detection in online interactions
D Ghosh, AR Fabbri, S Muresan
arXiv preprint arXiv:1707.06226, 2017
812017
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
812016
Sarcasm analysis using conversation context
D Ghosh, AR Fabbri, S Muresan
Computational Linguistics 44 (4), 755-792, 2018
782018
: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
T Chakrabarty, D Ghosh, S Muresan, N Peng
arXiv preprint arXiv:2004.13248, 2020
672020
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
662016
Generating similes effortlessly like a pro: A style transfer approach for simile generation
T Chakrabarty, S Muresan, N Peng
arXiv preprint arXiv:2009.08942, 2020
602020
Grounding English commands to reward functions
S Squire, S Tellex, D Arumugam, L Yang
Robotics: Science and Systems, 2015
602015
A report on the 2020 sarcasm detection shared task
D Ghosh, A Vajpayee, S Muresan
arXiv preprint arXiv:2005.05814, 2020
572020
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