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    ACL
    2008
    140views Computational Linguistics» more  ACL 2008»
    The Tradeoffs Between Open and Traditional Relation Extraction
    13 years 8 months ago
    The Tradeoffs Between Open and Traditional Relation Extraction
    Download  turing.cs.washington.edu
    Traditional Information Extraction (IE) takes a relation name and hand-tagged examples of that relation as input. Open IE is a relationindependent extraction paradigm that is tail...
    Michele Banko, Oren Etzioni
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    EMNLP
    2009
    202views Natural Language Processing» more  EMNLP 2009»
    Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
    13 years 5 months ago
    Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
    Download  www.aclweb.org
    In this paper, we address the task of crosslingual semantic relatedness. We introduce a method that relies on the information extracted from Wikipedia, by exploiting the interlang...
    Samer Hassan, Rada Mihalcea
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    JAIR
    2010
    132views more  JAIR 2010»
    Using Local Alignments for Relation Recognition
    13 years 5 months ago
    Using Local Alignments for Relation Recognition
    Download  www.jair.org
    This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we ...
    Sophia Katrenko, Pieter W. Adriaans, Maarten van S...
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    EMNLP
    2009
    110views Natural Language Processing» more  EMNLP 2009»
    Improving Web Search Relevance with Semantic Features
    13 years 5 months ago
    Improving Web Search Relevance with Semantic Features
    Download  ai.uwaterloo.ca
    Most existing information retrieval (IR) systems do not take much advantage of natural language processing (NLP) techniques due to the complexity and limited observed effectivenes...
    Yumao Lu, Fuchun Peng, Gilad Mishne, Xing Wei, Ben...
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    ICDM
    2009
    IEEE
    233views Data Mining» more  ICDM 2009»
    Semi-Supervised Sequence Labeling with Self-Learned Features
    14 years 2 months ago
    Semi-Supervised Sequence Labeling with Self-Learned Features
    Download  www.cs.cmu.edu
    —Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
    Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
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