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Extracting semantic categories of nouns for syntactic disambiguation from human-oriented explanatory dictionaries

Authors
Calvo, HGelbukh, A
Issue Date
Feb-2004
Publisher
SPRINGER-VERLAG BERLIN
Citation
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, v.2945, pp 258 - 261
Pages
4
Journal Title
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING
Volume
2945
Start Page
258
End Page
261
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65588
DOI
10.1007/978-3-540-24630-5_32
ISSN
0302-9743
Abstract
Syntactic disambiguation frequently requires knowledge of the semantic categories of nouns, especially in languages with free word order. For example, in Spanish the phrases pinto un cuadro un pintor (lit. painted a picture a painter) and pinto un pintor un cuadro (lit. painted a painter a picture) mean the same: 'a painter painted a picture'. The only way to tell the subject from the object is by knowing that pintor 'painter' is a causal agent and cuadro is a thing. We present a method for extracting semantic information of this kind from existing machine-readable human-oriented explanatory dictionaries. Application of this procedure to two different human-oriented Spanish dictionaries gives additional information as compared with using solely Spanish EuroWordNet. In addition, we show the results of an experiment conducted to evaluate the similarity of word classifications using this method.
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