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    ACL
    2006
    130views Computational Linguistics» more  ACL 2006»
    On-Demand Information Extraction
    13 years 6 months ago
    On-Demand Information Extraction
    Download  acl.ldc.upenn.edu
    At present, adapting an Information Extraction system to new topics is an expensive and slow process, requiring some knowledge engineering for each new topic. We propose a new par...
    Satoshi Sekine
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    ACL
    2006
    174views Computational Linguistics» more  ACL 2006»
    URES : an Unsupervised Web Relation Extraction System
    13 years 6 months ago
    URES : an Unsupervised Web Relation Extraction System
    Download  acl.ldc.upenn.edu
    Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
    Binyamin Rosenfeld, Ronen Feldman
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    AAAI
    2004
    176views Intelligent Agents» more  AAAI 2004»
    Interactive Information Extraction with Constrained Conditional Random Fields
    13 years 6 months ago
    Interactive Information Extraction with Constrained Conditional Random Fields
    Download  www.cs.umass.edu
    Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have...
    Trausti T. Kristjansson, Aron Culotta, Paul A. Vio...
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    NAACL
    2007
    107views Computational Linguistics» more  NAACL 2007»
    Unsupervised Resolution of Objects and Relations on the Web
    13 years 6 months ago
    Unsupervised Resolution of Objects and Relations on the Web
    Download  turing.cs.washington.edu
    The task of identifying synonymous relations and objects, or Synonym Resolution (SR), is critical for high-quality information extraction. The bulk of previous SR work assumed str...
    Alexander Yates, Oren Etzioni
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    IJCAI
    2007
    185views Artificial Intelligence» more  IJCAI 2007»
    Open Information Extraction from the Web
    13 years 6 months ago
    Open Information Extraction from the Web
    Download  turing.cs.washington.edu
    Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., extract the location and time o...
    Michele Banko, Michael J. Cafarella, Stephen Soder...
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    LWA
    2008
    220views Software Engineering» more  LWA 2008»
    Rule-Based Information Extraction for Structured Data Acquisition using TextMarker
    13 years 6 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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    LREC
    2008
    110views Education» more  LREC 2008»
    Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection
    13 years 6 months ago
    Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection
    Download  www.lrec-conf.org
    In this paper, we discuss methods of measuring the performance of ontology-based information extraction systems. We focus particularly on the Balanced Distance Metric (BDM), a new...
    Diana Maynard, Wim Peters, Yaoyong Li
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    LREC
    2008
    70views Education» more  LREC 2008»
    An Approach to Modeling Heterogeneous Resources for Information Extraction
    13 years 6 months ago
    An Approach to Modeling Heterogeneous Resources for Information Extraction
    Download  www.lrec-conf.org
    In this paper, we describe an approach that aims to model heterogeneous resources for information extraction. Document is modeled in graph representation that enables better under...
    Lei Xia, José Iria
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    IRCDL
    2008
    129views Digital Library» more  IRCDL 2008»
    Towards Bridging the Gap between Personalization and Information Extraction
    13 years 6 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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    EMNLP
    2008
    121views Natural Language Processing» more  EMNLP 2008»
    Regular Expression Learning for Information Extraction
    13 years 6 months ago
    Regular Expression Learning for Information Extraction
    Download  www.almaden.ibm.com
    Regular expressions have served as the dominant workhorse of practical information extraction for several years. However, there has been little work on reducing the manual effort ...
    Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghava...
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