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    COLING
    1994
    128views Computational Linguistics» more  COLING 1994»
    Analysis of Japanese Compound Nouns using Collocational Information
    14 years 11 months ago
    Analysis of Japanese Compound Nouns using Collocational Information
    Download  tanaka-www.cs.titech.ac.jp
    Analyzing compound nouns is one of the crucial issues for natural language processing systems, in particular for those systems that aim at a wide coverage of domaius. In this pape...
    Yosiyuki Kobayasi, Takenobu Tokunaga, Hozumi Tanak...
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    WWW
    2008
    ACM
    122views Internet Technology» more  WWW 2008»
    Size matters: word count as a measure of quality on wikipedia
    15 years 10 months ago
    Size matters: word count as a measure of quality on wikipedia
    Download  www2008.org
    Wikipedia, "the free encyclopedia", now contains over two million English articles, and is widely regarded as a highquality, authoritative encyclopedia. Some Wikipedia a...
    Joshua E. Blumenstock
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    EACL
    2009
    ACL Anthology
    88views Natural Language Processing» more  EACL 2009»
    Evaluating the Inferential Utility of Lexical-Semantic Resources
    15 years 10 months ago
    Evaluating the Inferential Utility of Lexical-Semantic Resources
    Download  u.cs.biu.ac.il
    Lexical-semantic resources are used extensively for applied semantic inference, yet a clear quantitative picture of their current utility and limitations is largely missing. We pr...
    Shachar Mirkin, Ido Dagan, Eyal Shnarch
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    EACL
    2009
    ACL Anthology
    103views Natural Language Processing» more  EACL 2009»
    Incremental Dialogue Processing in a Micro-Domain
    15 years 10 months ago
    Incremental Dialogue Processing in a Micro-Domain
    Download  www.speech.kth.se
    This paper describes a fully incremental dialogue system that can engage in dialogues in a simple domain, number dictation. Because it uses incremental speech recognition and pros...
    Gabriel Skantze, David Schlangen
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    EACL
    2009
    ACL Anthology
    105views Natural Language Processing» more  EACL 2009»
    Sentiment Summarization: Evaluating and Learning User Preferences
    15 years 10 months ago
    Sentiment Summarization: Evaluating and Learning User Preferences
    Download  www1.cs.columbia.edu
    We present the results of a large-scale, end-to-end human evaluation of various sentiment summarization models. The evaluation shows that users have a strong preference for summar...
    Kevin Lerman, Sasha Blair-Goldensohn, Ryan T. McDo...
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