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21
Phrase-level System Combination for Machine Translation Based on Target-to-Target Decoding
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22
Can Automatic Post-Editing Make MT More Meaningful?
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23
Phrase-level System Combination for Machine Translation Based on Target-to-Target Decoding ...
Ma, Wei-Yun; McKeown, Kathleen. - : Columbia University, 2012
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24
Can Automatic Post-Editing Make MT More Meaningful? ...
McKeown, Kathleen; Parton, Kristen; Habash, Nizar Y.. - : Columbia University, 2012
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25
Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars ...
Ma, Wei-Yun; McKeown, Kathleen. - : Columbia University, 2012
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26
Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars ...
Ma, Wei-Yun; McKeown, Kathleen. - : Columbia University, 2012
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27
Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations
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28
Information Status Distinctions and Referring Expressions: An Empirical Study of References to People in News Summaries
Abstract: Although there has been much theoretical work on using various information status distinctions to explain the form of references in written text, there have been few studies that attempt to automatically learn these distinctions for generating references in the context of computer-regenerated text. In this article, we present a model for generating references to people in news summaries that incorporates insights from both theory and a corpus analysis of human written summaries. In particular, our model captures how two properties of a person referred to in the summary—familiarity to the reader and global salience in the news story—affect the content and form of the initial reference to that person in a summary. We demonstrate that these two distinctions can be learned from a typical input for multi-document summarization and that they can be used to make regeneration decisions that improve the quality of extractive summaries.
Keyword: Computer science
URL: https://doi.org/10.7916/D8SB4GBD
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29
Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations ...
McKeown, Kathleen; Rosenthal, Sara. - : Columbia University, 2011
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30
Information Status Distinctions and Referring Expressions: An Empirical Study of References to People in News Summaries
In: Departmental Papers (CIS) (2011)
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31
“Got You!”: Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling
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32
Towards Semi-Automated Annotation for Prepositional Phrase Attachment
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33
Building a Bank of Semantically Encoded Narratives
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34
Extracting social networks from literary fiction
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 138-147
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35
“Got You!”: Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling ...
McKeown, Kathleen; Wang, William. - : Columbia University, 2010
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36
Towards Semi-Automated Annotation for Prepositional Phrase Attachment ...
Thadani, Kapil; Rosenthal, Sara; McKeown, Kathleen. - : Columbia University, 2010
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37
Contextual phrase-level polarity analysis using lexical affect scoring and syntactic n-grams
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 24-32
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38
Contextual Phrase-Level Polarity Analysis using Lexical Affect Scoring and Syntactic N-grams
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39
Where's the Verb? Correcting Machine Translation During Question Answering
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40
Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task
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