Co-occurrence semantic knowledge base construction for abbreviation disambiguation

2017 
Word sense disambiguation (WSD) plays an important role in natural language processing, such as information retrieval, text summarization, question answering, machine translation, etc. Abbreviation disambiguation is an important sub-domain of WSD, and in this paper we try to construct a co-occurrence knowledge base for realizing fast abbreviation disambiguation, since speed is essential in applications such as question answering and machine translation. In our proposed method, named entities in context of abbreviations are essential for this disambiguation task, and the final experimental results show that our method can effectively realize the mentioned aim.
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