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Using NOMLEX to Produce Nominalization Patterns for Information Extraction
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In: http://www.ai.mit.edu/people/jimmylin/papers/Meyers98.ps (1998)
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Abstract:
This paper describes how NOMLEX, a dictionary of nominalizations, can be used in Information Extraction (IE). This paper details a procedure which maps syntactic and semantic information designed for writing an IE pattern for an active clause (IBM appointed Alice Smith as vice president) into a set of patterns for nominalizations (e.g., IBM's appointment of Alice Smith as vice president and Alice Smith's appointment as vice president). 1 Introduction Although, nominalizations 1 are very common in written text, the computational linguistics literature provides few systematic accounts of how to deal with phrases containing these words. This paper focuses on this problem in the context of Information Extraction (IE). 2 Many extraction systems use either parsing combined with some form of syntactic regularization, or a meta-rule mechanism to automatically match variants of clausal syntactic structures (active main clause, passive, relative clause etc.), e.g., FASTUS (Appelt et al., 1.
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Keyword:
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.1770
http://www.ai.mit.edu/people/jimmylin/papers/Meyers98.ps
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NOMLEX: A Lexicon of Nominalizations
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In: http://www.ai.mit.edu/people/jimmylin/papers/Macleod98.ps (1998)
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