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    EACL
    2003
    ACL Anthology
    141views Natural Language Processing» more  EACL 2003»
    Empirical Methods for Compound Splitting
    13 years 9 months ago
    Empirical Methods for Compound Splitting
    Download  www.iccs.informatics.ed.ac.uk
    Compounded words are a challenge for NLP applications such as machine translation (MT). We introduce methods to learn splitting rules from monolingual and parallel corpora. We eva...
    Philipp Koehn, Kevin Knight
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    LREC
    2008
    104views Education» more  LREC 2008»
    Learning Patterns for Building Resources about Semantic Relations in the Medical Domain
    13 years 9 months ago
    Learning Patterns for Building Resources about Semantic Relations in the Medical Domain
    Download  www.lrec-conf.org
    In this article, we present a method for extracting automatically from texts semantic relations in the medical domain using linguistic patterns. These patterns refer to three leve...
    Mehdi Embarek, Olivier Ferret
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    EMNLP
    2008
    105views Natural Language Processing» more  EMNLP 2008»
    Learning Graph Walk Based Similarity Measures for Parsed Text
    13 years 9 months ago
    Learning Graph Walk Based Similarity Measures for Parsed Text
    Download  www.cs.cmu.edu
    We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
    Einat Minkov, William W. Cohen
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    EMNLP
    2009
    130views Natural Language Processing» more  EMNLP 2009»
    Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
    13 years 5 months ago
    Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
    Download  www.aclweb.org
    The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
    Yusuke Miyao, Jun-ichi Tsujii
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    ACL
    2008
    106views Computational Linguistics» more  ACL 2008»
    Learning Bigrams from Unigrams
    13 years 9 months ago
    Learning Bigrams from Unigrams
    Download  aclweb.org
    Traditional wisdom holds that once documents are turned into bag-of-words (unigram count) vectors, word orders are completely lost. We introduce an approach that, perhaps surprisi...
    Xiaojin Zhu, Andrew B. Goldberg, Michael Rabbat, R...
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