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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 20 of 20 1 The computational linguistics of conversation modeling ... The 28th International Conference on Computational Linguistics 2020; Stent, Amanda. - : Underline Science Inc., 2020 BASE Show details 2 Invited Talk: The Computational Linguistics of Conversation Modeling Q&A - Amanda Stent ... The 28th International Conference on Computational Linguistics 2020; Stent, Amanda. - : Underline Science Inc., 2020 BASE Show details 3 Post-specialisation: Retrofitting vectors of words unseen in lexical resources Mrkšić, Nikola; Glavaš, Goran; Korhonen, Anna. - : Association for Computational Linguistics, 2018 BASE Show details 4 Discriminating between lexico-semantic relations with the specialization tensor model Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2018 BASE Show details 5 Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest ... Radev, Dragomir; Stent, Amanda; Tetreault, Joel; Pappu, Aasish; Iliakopoulou, Aikaterini; Chanfreau, Agustin; de Juan, Paloma; Vallmitjana, Jordi; Jaimes, Alejandro; Jha, Rahul; Mankoff, Bob. - : arXiv, 2015 Abstract: The New Yorker publishes a weekly captionless cartoon. More than 5,000 readers submit captions for it. The editors select three of them and ask the readers to pick the funniest one. We describe an experiment that compares a dozen automatic methods for selecting the funniest caption. We show that negative sentiment, human-centeredness, and lexical centrality most strongly match the funniest captions, followed by positive sentiment. These results are useful for understanding humor and also in the design of more engaging conversational agents in text and multimodal (vision+text) systems. As part of this work, a large set of cartoons and captions is being made available to the community. ... : 10 pages, in submission ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning stat.ML; Multimedia cs.MM URL: https://arxiv.org/abs/1506.08126 https://dx.doi.org/10.48550/arxiv.1506.08126 BASE Hide details 6 Natural language generation in interactive systems Stent, Amanda (Hrsg.). - Cambridge [u.a.] : Cambridge University Press, 2014 UB Frankfurt Linguistik Show details 7 Natural language generation in interactive systems Stent, Amanda; Bangalore, Srinivas. - Cambridge [u.a.] : Cambridge Univ. Press, 2014 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 8 Introduction Stent, Amanda; Bangalore, Srinivas In: Natural language generation in interactive systems (2014), S. 1-9 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 9 Production and comprehension of unheralded pronouns: a corpus analysis Horton, William S.; Gerrig, Richard J.; Stent, Amanda In: Discourse processes. - London [u.a.] : Routledge, Taylor and Francis Group 48 (2011) 3, 161-182 BLLDB OLC Linguistik Show details 10 Finding common ground: towards a surface realisation shared task White, Mike; Belz, Anya; Stent, Amanda... In: Belz, Anya, White, Mike, van Genabith, Josef orcid:0000-0003-1322-7944 , Hogan, Deirdre and Stent, Amanda (2010) Finding common ground: towards a surface realisation shared task. In: INLG 2010 - 6th International Natural Language Generation Conference, 7-9 July 2010, Trim, Co. Meath, Ireland. (2010) BASE Show details 11 Finding common ground: towards a surface realisation shared task Stent, Amanda; White, Mike; Genabith, Josef van. - : Association for Computational Linguistics, 2010 BASE Show details 12 Incremental parsing models for dialog task structure Bangalore, Srinivas; Stent, Amanda J. In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 94-102 BLLDB Show details 13 Learning the structure of task-driven human-human dialogs Di Fabbrizio, Guiseppe; Bangalore, Srinivas; Stent, Amanda In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 7, 1249-1259 BLLDB OLC Linguistik Show details 14 Adapting speaking after evidence of misrecognition: local and global hyperarticulation Stent, Amanda J.; Brennan, Susan E.; Huffman, Marie K. In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 3, 163-178 BLLDB OLC Linguistik Show details 15 Adapting speaking after evidence of misrecognition: Local and global hyperarticulation Stent, Amanda J.; Huffman, Marie K.; Brennan, Susan E. In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 3, 163-178 OLC Linguistik Show details 16 Annotating Argumentation Acts in Spoken Dialog Stent, Amanda J.; Allen, James F.. - : University of Rochester. Computer Science Department., 2004 BASE Show details 17 A conversation acts model for generating spoken dialogue contributions Stent, Amanda J. In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 16 (2002) 3, 313-352 OLC Linguistik Show details 18 Spoken language generation Walker, Marilyn A. (Hrsg.); Rambow, Owen (Hrsg.); Seneff, S. (Mitarb.)... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 16 (2002) 3-4, 273-550 BLLDB Show details 19 Spoken language dialogue system engineering Kuppevelt, Jan van (Hrsg.); Heid, Ulrich (Hrsg.); Kamp, Hans (Hrsg.)... In: Natural language engineering. - Cambridge : Cambridge University Press 6 (2000) 3-4, 205-377 BLLDB Show details 20 A Preliminary Model of Centering in Dialog Byron, Donna K.; Stent, Amanda J. In: DTIC AND NTIS (1998) BASE Show details

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