Corpus-Based Approaches to Semantic Interpretation in NLP

摘要: In recent years, there has been a flurry of research into empirical, corpus-based learning approaches to natural language processing (NLP). Most empirical NLP work date focused on relatively low-level such as part-of-speech tagging, text segmentation, and syntactic parsing. The success these stimulated in using techniques other facets NLP, including semantic analysis -- uncovering the meaning an utterance. This article is introduction some emerging application problems interpretation. particular, we focus two important interpretation, namely, word-sense disambiguation