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- W2465946472 abstract "We propose a compaction of WordNet senses for natural language understanding (NLU) applications, where only those distinctions that are not predictable from other knowledge sources are retained. Further, we propose that word sense disambiguation programs that use WordNet as their dictionary may be evaluated with respect to this compaction, for a better indicator of performance. WordNet is attractive for studies of word sense disambiguation because of its quite comprehensive lexical coverage. However, for NLU applications, its very fine-grained distinctions among word senses may be superfluous, in that these distinctions often reflect a regular polysemy which is productive across many words. The knowledge that this regular polysemy exploits is knowledge that a natural language understanding system must already have in order to handle other phases of the understanding process, such as reference resolution. Thus a program which is able to disambiguate WordNet senses modulo, e.g. metonymy, will have essentially done its job as a word sense disambiguator. We conclude with an evaluation of different disambiguators with respect to the compaction." @default.
- W2465946472 created "2016-07-22" @default.
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- W2465946472 date "2000-04-01" @default.
- W2465946472 modified "2023-09-26" @default.
- W2465946472 title "A Compaction of WordNet Senses for Evaluation of Word Sense Disambiguators" @default.
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