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Invited Talk: The Computational Linguistics of Conversation Modeling Q&A - Amanda Stent ...
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Post-specialisation: Retrofitting vectors of words unseen in lexical resources
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Discriminating between lexico-semantic relations with the specialization tensor model
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Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest ...
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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
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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 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning stat.ML; Multimedia cs.MM
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URL: https://arxiv.org/abs/1506.08126 https://dx.doi.org/10.48550/arxiv.1506.08126
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Finding common ground: towards a surface realisation shared task
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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)
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Finding common ground: towards a surface realisation shared task
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A Preliminary Model of Centering in Dialog
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In: DTIC AND NTIS (1998)
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