Linking Verbal Entries of Different Lexical Resources

نویسنده

  • Adriana Roventini
چکیده

In the field of Computational Linguistics, many lexical resources have been developed which aim at encoding complex lexical semantic information according to different linguistic models (WordNet, Frame Semantics, Generative Lexicon, etc.). However, these resources are often not easily accessible nor available in their entirety. Yet, from the point of view of the continuous growth of technology (Semantic Web), their visibility, availability and integration are becoming of utmost importance. ItalWordNet and PAROLE/SIMPLE/CLIPS are two resources which, tackling lexical semantics from different perspectives and being at least partially complementary, can profit from linking each other. In this paper we address the issue of the linking of these resources focusing on the most problematic part of the lexicon: the second order entities. In particular, after a brief description of the two resources, their different approaches to the verb semantics are described; an accurate comparison of a set of verbal entries belonging to Speech Act semantic class is carried out aiming at evaluate the possibilities and the advantages of a semiautomatic link.

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تاریخ انتشار 2006