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    » Event Extraction as Dependency Parsing
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    ACL
    2009
    145views Computational Linguistics» more  ACL 2009»
    Composite Kernels For Relation Extraction
    14 years 11 months ago
    Composite Kernels For Relation Extraction
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    The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how differen...
    Frank Reichartz, Hannes Korte, Gerhard Paass
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    115
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    EMNLP
    2009
    136views Natural Language Processing» more  EMNLP 2009»
    Improving Dependency Parsing with Subtrees from Auto-Parsed Data
    14 years 11 months ago
    Improving Dependency Parsing with Subtrees from Auto-Parsed Data
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    This paper presents a simple and effective approach to improve dependency parsing by using subtrees from auto-parsed data. First, we use a baseline parser to parse large-scale una...
    Wenliang Chen, Jun'ichi Kazama, Kiyotaka Uchimoto,...
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    111
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    COLING
    1992
    104views Computational Linguistics» more  COLING 1992»
    Knowledge Acquisition And Chinese Parsing Based On Corpus
    15 years 2 months ago
    Knowledge Acquisition And Chinese Parsing Based On Corpus
    Download  acl.ldc.upenn.edu
    In Natural Language Processing (NLP), one key problem is how to design a robust and effective parsing system. In this paper, we will introduce a corpm- based Chinese parsing syste...
    Chunfa Yuan, Changning Huang, Shimei Pan
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    111
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    LREC
    2010
    188views Education» more  LREC 2010»
    Pattern-Based Extraction of Negative Polarity Items from Dependency-Parsed Text
    15 years 2 months ago
    Pattern-Based Extraction of Negative Polarity Items from Dependency-Parsed Text
    Download  www.lrec-conf.org
    We describe a new method for extracting Negative Polarity Item candidates (NPI candidates) from dependency-parsed German text corpora. Semi-automatic extraction of NPIs is a chall...
    Fabienne Fritzinger, Frank Richter, Marion Weller
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    108
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    LDVF
    2010
    135views Programming Languages» more  LDVF 2010»
    Who Can See the Forest for the Trees? Extracting Multiword Negative Polarity Items from Dependency-Parsed Text
    14 years 8 months ago
    Who Can See the Forest for the Trees? Extracting Multiword Negative Polarity Items from Dependency-Parsed Text
    Download  www.jlcl.org
    Frank Richter, Fabienne Fritzinger, Marion Weller
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