SemEval 2010 WSI
평가 기록 5건
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Word sense induction (WSI) is widely known as the “unsupervised version” of WSD. The problem states as: Given a target word (e.g., “cold”) and a collection of sentences (e.g., “I caught a cold”, “The weather is cold”) that use the word, cluster the sentences according to their different senses/meanings. We do not need to know the sense/meaning of each cluster, but sentences inside a cluster should have used the target words with the same sense.
Description from NLP Progress
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평가 기록 5건
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