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High quality arguments are essential elements for human reasoning and decision-making processes.
Computer-intensive methods for testing hypotheses
Eric W Noreen. 1989 · 1989
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Automated discourse generation using discourse structure relations
Eduard H Hovy. 1993 · 1993
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Chris Reed, Derek Long, and Maria Fox. 1996 · 1996
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The role of saliency in generating natural language arguments
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The automated acquisition of topic signatures for text summarization
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Using argumentation strategies in automated argument generation
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Whose voice is heard in online deliberation?: A study of participation and representation in political debates on the internet
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Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models
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A simple domain-independent probabilistic approach to generation
Gabor Angeli, Percy Liang, and Dan Klein. 2010 · 2010
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Content selection from an ontology-based knowledge base for the generation of football summaries
Nadjet Bouayad-Agha, Gerard Casamayor, and Leo Wanner. 2011 · 2011
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Facilitative moderation for online participation in erulemaking
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The nature and development of decision-making: A self-regulation model
James P Byrnes. 2013 · 2013
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Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, and Larry Heck. 2013 · 2013
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Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
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Analyzing argumentative discourse units in online interactions
Debanjan Ghosh, Smaranda Muresan, Nina Wacholder, Mark Aakhus, and Matthew Mitsui. 2014 · 2014
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The stanford corenlp natural language processing toolkit
End-to-end argument generation system in debating
Misa Sato, Kohsuke Yanai, Toshinori Miyoshi, Toshihiko Yanase, Makoto Iwayama, Qinghua Sun, and Yoshiki Niwa. 2015 · 2015
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young. 2015 · 2015
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A theoretically grounded application of dropout in recurrent neural networks
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
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A latent variable recurrent neural network for discourse-driven language models
Yangfeng Ji, Gholamreza Haffari, and Jacob Eisenstein. 2016 · 2016
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Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. 2016 · 2016
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Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
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Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Building an argument search engine for the web
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Understanding and detecting supporting arguments of diverse types
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