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    ASP
    2005
    Springer
    288views Automated Reasoning» more  ASP 2005»
    Exploiting ASP for Semantic Information Extraction
    13 years 10 months ago
    Exploiting ASP for Semantic Information Extraction
    Download  ftp.informatik.rwth-aachen.de
    Abstract. The paper describes HıLεX, a new ASP-based system for the extraction of information from unstructured documents. Unlike previous systems, which are mainly syntactic, H...
    Massimo Ruffolo, Nicola Leone, Marco Manna, Domeni...
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    LWA
    2008
    220views Software Engineering» more  LWA 2008»
    Rule-Based Information Extraction for Structured Data Acquisition using TextMarker
    13 years 10 months ago
    Rule-Based Information Extraction for Structured Data Acquisition using TextMarker
    Download  ki.informatik.uni-wuerzburg.de
    Information extraction is concerned with the location of specific items in (unstructured) textual documents, e.g., being applied for the acquisition of structured data. Then, the ...
    Martin Atzmüller, Peter Klügl, Frank Pup...
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    IRCDL
    2008
    129views Digital Library» more  IRCDL 2008»
    Towards Bridging the Gap between Personalization and Information Extraction
    13 years 10 months ago
    Towards Bridging the Gap between Personalization and Information Extraction
    Download  sole.dimi.uniud.it
    In this paper we propose to integrate Information Extraction and Adaptive Personalization in order to empower information access and Web search experience. We describe the PIE (Per...
    Nirmala Pudota, Paolo Casoto, Antonina Dattolo, Pa...
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    ACL
    2006
    125views Computational Linguistics» more  ACL 2006»
    Segment-Based Hidden Markov Models for Information Extraction
    13 years 10 months ago
    Segment-Based Hidden Markov Models for Information Extraction
    Download  acl.ldc.upenn.edu
    Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
    Zhenmei Gu, Nick Cercone
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    CICLING
    2005
    Springer
    150views Natural Language Processing» more  CICLING 2005»
    Incremental Information Extraction Using Tree-Based Context Representations
    14 years 2 months ago
    Incremental Information Extraction Using Tree-Based Context Representations
    Download  www.siefkes.net
    Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
    Christian Siefkes
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