Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
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Chinese Named Entity RecognitionInformation RetrievalLearning Word EmbeddingsNamed Entity Recognition (NER)Word EmbeddingsWord Sense InductionSimilar Papers 제목 키워드 기반
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Word embeddings, which represent a word as a point in a vector space, have become ubiquitous to several NLP tasks. A recent line of work uses bilingual (two languages) corpora to learn a different vector for each sense o…
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Representation LearningWord SimilarityAutomatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding
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TAGWord Embeddings