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    EMNLP
    2006
    99views Natural Language Processing» more  EMNLP 2006»
    Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
    13 years 9 months ago
    Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
    Download  www.cs.cornell.edu
    We investigate whether one can determine from the transcripts of U.S. Congressional floor debates whether the speeches represent support of or opposition to proposed legislation. ...
    Matt Thomas, Bo Pang, Lillian Lee
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    EMNLP
    2006
    93views Natural Language Processing» more  EMNLP 2006»
    Random Indexing using Statistical Weight Functions
    13 years 9 months ago
    Random Indexing using Statistical Weight Functions
    Download  www.cs.usyd.edu.au
    Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
    James Gorman, James R. Curran
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    EMNLP
    2006
    139views Natural Language Processing» more  EMNLP 2006»
    Lexical Reference: a Semantic Matching Subtask
    13 years 9 months ago
    Lexical Reference: a Semantic Matching Subtask
    Download  acl.ldc.upenn.edu
    Semantic lexical matching is a prominent subtask within text understanding applications. Yet, it is rarely evaluated in a direct manner. This paper proposes a definition for lexic...
    Oren Glickman, Eyal Shnarch, Ido Dagan
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    EMNLP
    2006
    105views Natural Language Processing» more  EMNLP 2006»
    A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
    13 years 9 months ago
    A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
    Download  nlp.stanford.edu
    We describe a probabilistic approach to content selection for meeting summarization. We use skipchain Conditional Random Fields (CRF) to model non-local pragmatic dependencies bet...
    Michel Galley
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    EMNLP
    2006
    119views Natural Language Processing» more  EMNLP 2006»
    SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
    13 years 9 months ago
    SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
    Download  www.mt-archive.info
    We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline...
    Daniel Marcu, Wei Wang, Abdessamad Echihabi, Kevin...
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