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检索条件"机构=Computer Science and Intelligent Systems Program"
214 条 记 录,以下是41-50 订阅
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Identifying opinionated sentences
Identifying opinionated sentences
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2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, HLT-NAACL 2003
作者: Wilson, Theresa Pierce, David R. Wiebe, Janyce Intelligent Systems Program University of Pittsburgh United States Department of Computer Science and Engineering University of Buffalo The State University of New York United States Department of Computer Science University of Pittsburgh United States
来源: 评论
Syntax-based semi-supervised named entity tagging  05
Syntax-based semi-supervised named entity tagging
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43rd Annual Meeting of the Association for Computational Linguistics, ACL-05
作者: Mohit, Behrang Hwa, Rebecca Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States Computer Science Department University of Pittsburgh Pittsburgh PA 15260 United States
We report an empirical study on the role of syntactic features in building a semisupervised named entity (NE) tagger. Our study addresses two questions: What types of syntactic features are suitable for extracting pot... 详细信息
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Recognizing contextual polarity in phrase-level sentiment analysis  05
Recognizing contextual polarity in phrase-level sentiment an...
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Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT
作者: Wilson, Theresa Wiebe, Janyce Hoffmann, Paul Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States Department of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States
This paper presents a new approach to phrase-level sentiment analysis that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions. With this approach, t... 详细信息
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Discourse Context
Discourse Context
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1995 AAAI Fall Symposium on Formalizing Context
作者: Thomason, Richmond H. Moore, Johanna D. Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Computer Science Department University of Pittsburgh PittsburghPA15260 United States
Wediscuss the problems of developinga theory of context that applies to the phenomena of naturally occurring discourse and that might be useful in assisting with the problemsthat arise in generating and interpreting d...
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Factorized diffusion map approximation  15
Factorized diffusion map approximation
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15th International Conference on Artificial Intelligence and Statistics, AISTATS 2012
作者: Amizadeh, Saeed Valizadegan, Hamed Hauskrecht, Milos Intelligent Systems Program University of Pittsburgh PittsburghPA15213 United States Department of Computer Science University of Pittsburgh PittsburghPA15213 United States
Diffusion maps are among the most powerful Machine Learning tools to analyze and work with complex high-dimensional datasets. Unfortunately, the estimation of these maps from a finite sample is known to suffer from th... 详细信息
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Annotating attributions and private states  2
Annotating attributions and private states
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2nd Workshop on Frontiers in Corpus Annotations II: Pie in the Sky - As part of the 2005 Annual Meeting of the Association of Computational Linguistics, Sky@ACL 2005
作者: Wilson, Theresa Wiebe, Janyce Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Department of Computer Science University of Pittsburgh PittsburghPA15260 United States
This paper describes extensions to a corpus annotation scheme for the manual annotation of attributions, as well as opinions, emotions, sentiments, speculations, evaluations and other private states in language. It di... 详细信息
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Towards focused plan monitoring: A technique and an application to mobile robots  3
Towards focused plan monitoring: A technique and an applicat...
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3rd IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 1999
作者: Pollack, Martha E. McCarthy, Colleen Department of Computer Science University of Pittsburgh PittsburghPA15260 United States Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States
Until recently, techniques for AI plan generation relied on highly restrictive assumptions that were almost always violated in real-world environments;consequently, robot designers adopted reactive architectures and a... 详细信息
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Manual Annotation of Opinion Categories in Meetings  7
Manual Annotation of Opinion Categories in Meetings
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7th International Workshop on Linguistically Interpreted Corpora, LINC-2006 and 3rd Frontiers in Corpus Annotation
作者: Somasundaran, Swapna Wiebe, Janyce Hoffmann, Paul Litman, Diane Department of Computer Science University of Pittsburgh PittsburghPA15260 United States Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States
This paper applies the categories from an opinion annotation scheme developed for monologue text to the genre of multiparty meetings. We describe modifications to the coding guidelines that were required to extend the...
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Localization of difficult-to-translate phrases  2
Localization of difficult-to-translate phrases
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2nd Workshop on Statistical Machine Translation, WMT 2007 at the 45th Annual Meeting of the Association of Computational Linguistics, ACL 2007
作者: Mohit, Behrang Hwa, Rebecca Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Department of Computer Science University of Pittsburgh PittsburghPA15260 United States
This paper studies the impact that difficult-to-translate source-language phrases might have on the machine translation process. We formulate the notion of difficulty as a measurable quantity;we show that a classifier... 详细信息
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Language model adaptation for difficult to translate phrases
Language model adaptation for difficult to translate phrases
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13th Annual Conference of the European Association for Machine Translation, EAMT 2009
作者: Mohit, Behrang Liberato, Frank Hwa, Rebecca Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States Department of Computer Science University of Pittsburgh Pittsburgh PA 15260 United States
This paper investigates the idea of adapting language models for phrases that have poor translation quality. We apply a selective adaptation criterion which uses a classifier to locate the most difficult phrase of eac... 详细信息
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