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    EACL
    2006
    ACL Anthology
    158views Natural Language Processing» more  EACL 2006»
    Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
    13 years 9 months ago
    Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
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    We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
    Claudio Giuliano, Alberto Lavelli, Lorenza Romano
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    EACL
    2006
    ACL Anthology
    109views Natural Language Processing» more  EACL 2006»
    The GOD model
    13 years 9 months ago
    The GOD model
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    GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search...
    Alfio Massimiliano Gliozzo
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    EACL
    2006
    ACL Anthology
    156views Natural Language Processing» more  EACL 2006»
    Large Linguistically-Processed Web Corpora for Multiple Languages
    13 years 9 months ago
    Large Linguistically-Processed Web Corpora for Multiple Languages
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    The Web contains vast amounts of linguistic data. One key issue for linguists and language technologists is how to access it. Commercial search engines give highly compromised acc...
    Marco Baroni, Adam Kilgarriff
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    EACL
    2006
    ACL Anthology
    91views Natural Language Processing» more  EACL 2006»
    A Probabilistic Answer Type Model
    13 years 9 months ago
    A Probabilistic Answer Type Model
    Download  acl.ldc.upenn.edu
    All questions are implicitly associated with an expected answer type. Unlike previous approaches that require a predefined set of question types, we present a method for dynamical...
    Christopher Pinchak, Dekang Lin
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    EACL
    2006
    ACL Anthology
    124views Natural Language Processing» more  EACL 2006»
    From Detecting Errors to Automatically Correcting Them
    13 years 9 months ago
    From Detecting Errors to Automatically Correcting Them
    Download  acl.ldc.upenn.edu
    Faced with the problem of annotation errors in part-of-speech (POS) annotated corpora, we develop a method for automatically correcting such errors. Building on top of a successfu...
    Markus Dickinson
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