KUNLP system in Senseval-3
Hee-Cheol Seo, Hae‐Chang Rim, Soo-Hong Kim · Meeting of the Association for Computational Linguistics · 2004
We have participated in both English all words task and English lexical sample task of SENSEVAL3. Our system disambiguates senses of a target word in a context by selecting a substituent among WordNet relatives of the target word, such as synonyms, hypernyms, meronyms and so on. The decision is made based on co-occurrence frequency between candidate relatives and each of the context words. Since the co-occurrence frequency is obtainable from raw corpus, our method is considered to be an unsupervised learning algorithm that does not require a sense-tagged corpus.