Abstract
The study of word co-occurrences is common in linguistics but only recently the availability of on-line corpora and dictionaries made it possible to extensively collect word associations. Several papers published on this topic claim that their results are useful not only for lexicographers and linguists, but also for NLP, particularly for semantic and syntactic disambiguation in sentence analysis, as well as for lexical choice in generation. However such claims have not been convincingly proved so far. In this paper we argue that word associations derived through pure statistical analysis can hardly cope with the problem of syntactic disambiguation. It is shown that better performances are obtained by integrating wide-coverage techniques such as statistics with traditional NLP methods.
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© 1991 Springer-Verlag Berlin Heidelberg
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Basili, R., Pazienza, M.T., Velardi, P. (1991). Using word association for syntactic disambiguation. In: Ardizzone, E., Gaglio, S., Sorbello, F. (eds) Trends in Artificial Intelligence. AI*IA 1991. Lecture Notes in Computer Science, vol 549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54712-6_237
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DOI: https://doi.org/10.1007/3-540-54712-6_237
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