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    EMNLP
    2006
    158views Natural Language Processing» more  EMNLP 2006»
    Boosting Unsupervised Relation Extraction by Using NER
    13 years 8 months ago
    Boosting Unsupervised Relation Extraction by Using NER
    Download  acl.ldc.upenn.edu
    Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
    Ronen Feldman, Benjamin Rosenfeld
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    EACL
    2006
    ACL Anthology
    183views Natural Language Processing» more  EACL 2006»
    Weakly Supervised Approaches for Ontology Population
    13 years 8 months ago
    Weakly Supervised Approaches for Ontology Population
    Download  acl.ldc.upenn.edu
    We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
    Hristo Tanev, Bernardo Magnini
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    EMNLP
    2011
    209views Natural Language Processing» more  EMNLP 2011»
    Structured Relation Discovery using Generative Models
    12 years 7 months ago
    Structured Relation Discovery using Generative Models
    Download  www.cs.umass.edu
    We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
    Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
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    LREC
    2010
    143views Education» more  LREC 2010»
    Determining the Origin and Structure of Person Names
    13 years 8 months ago
    Determining the Origin and Structure of Person Names
    Download  www.lrec-conf.org
    This paper presents a novel system HENNA (Hybrid Person Name Analyzer) for identifying language origin and analyzing linguistic structures of person names. We conduct ME-based cla...
    Yu Fu, Feiyu Xu, Hans Uszkoreit
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    SDM
    2010
    SIAM
    259views Data Mining» more  SDM 2010»
    Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
    13 years 8 months ago
    Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
    Download  paul.rutgers.edu
    We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
    Pavel P. Kuksa, Yanjun Qi
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