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Domain-specific coreference resolution with lexicalized features
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Conundrums in noun phrase coreference resolution: making sense of the state-of-the-art
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Toward completeness in concept extraction and classification
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Corpus-based semantic lexicon induction with web-based corroboration
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Unified model of phrasal and sentential evidence for information extraction
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Semantic class learning from the web with hyponym pattern linkage graphs
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Effective information extraction with semantic affinity patterns and relevant regions
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Exploiting role-identifying nouns and expressions for information extraction
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Learning domain-specific information extraction patterns from the web
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OpinionFinder: a system for subjectivity analysis
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Wilson, Theresa; Hoffmann, Paul; Somasundaran, Swapna; Kessler, Jason; Wiebe, Janyce; Choi, Yejin; Cardie, Claire; Patwardhan, Siddharth; Riloff, Ellen M.. - : Association for Computational Linguistics, 2005
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Identifying sources of opinions with conditional random fields and extraction patterns
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Unsupervised learning of contextual role knowledge for coreference resolution
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Learning subjective nouns using extraction pattern bootstrapping
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Exploiting strong syntactic heuristics and co-training to learn semantic lexicons
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Bootstrapping method for learning semantic lexicons using extraction pattern contexts
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Abstract:
Journal Article ; This paper describes a bootstrapping algorithm called Basilisk that learns high-quality semantic lexicons for multiple categories. Basilisk begins with an unannotated corpus and seed words for each semantic category, which are then bootstrapped to learn new words for each category. Basilisk hypothesizes the semantic class of a word based on collective information over a large body of extraction pattern contexts. We evaluate Basilisk on six semantic categories. The semantic lexicons produced by Basilisk have higher precision than those produced by previous techniques, with several categories showing substantial improvement.
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Keyword:
Basilisk; Bootstrapping method; Information retrieval; Programming languages (Electronic computers) -- Semantics; Semantic lexicons
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URL: https://collections.lib.utah.edu/ark:/87278/s6xs6d1h
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Inducing information extraction systems for new languages via cross-language projection
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Looking under the hood: tools for diagnosing your question answering engine
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Rule-based question answering system for reading comprehension tests
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