Natural language hypernym weighting for word sense disambiguation

摘要

Technologies are described herein for probabilistically assigning weights to word senses and hypernyms of a word. The weights can be used in natural language processing applications such as information indexing and querying. A word hypernym weight (WHW) score can be determined by summing word sense probabilities of word senses from which the hypernym is inherited. WHW scores can be used to prune away hypernyms prior to indexing, to rank query results, and for other functions related to information indexing and querying. A semantic search technique can use WHW scores to retrieve an entry related to a word from an index in response to matching an indexed hypernym of the word with a query term applied to the index. More refined and accurate query results may be provided based on reduced user inputs.