Analysis of definitions of verbs in an explanatory dictionary for automatic extraction of actants based on detection of patterns

Authors:
Noé Alejandro Castro-Sánchez;Grigori Sidorov
Affiliations:
Natural Language and Text Processing Laboratory, Center for Research in Computer Science, National Polytechnic Institute, Mexico City, Mexico;Natural Language and Text Processing Laboratory, Center for Research in Computer Science, National Polytechnic Institute, Mexico City, Mexico
Venue:
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Year:
2010

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Abstract

Due to the importance that verbs have in language an identification of their actants (obligatory complements) is important for understanding of the meaning of sentences. Usually, the solution of this problem in natural language processing is based on machine learning approaches, which are trained on large sets of tagged texts. We show that it is possible to work with other kind of sources, i.e., explanatory dictionaries. Dictionary definitions have patterns that provide enough information for identifying actants. We develop a heuristic approach in order to obtain this information and developed an algorithm for detection of actants in texts.