Linking CoreNet to WordNet - Some Aspects and Interim Consideration
نویسندگان
چکیده
CoreNet, which is built on 2,937 semantic categories, is a multilingual lexico-semantic network aiming at bridging multiple languages/parts-of-speech for a variety of NLP applications. To foster its more widespread use, we have attempted to link semantic categories of CoreNet to Princeton WordNet. To ameliorate translation problems between CoreNet (mostly written in Korean) and English WordNet and to enhance recall of WordNet equivalents, two are partially indirectly linked through a Korean WordNet which shares most synset IDs with English WordNet. As an interim report, this paper describes a mapping methodology and current considerations.
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