Patent ID: 9171071
Filing Date: 2015-10-27
Classification: G06F

Abstract:
1. A meaning extraction device, comprising: a clustering means for acquiring feature vectors generated for each word appearing in solution data in which annotations are appended to words having specific meanings to identify the respective specific meaning, and having as factors feature values indicating the features of the appearing words and surrounding words, and clustering the acquired feature vectors into multiple clusters based on the similarity between feature vectors; a cluster updating means for determining whether or not each of the feature vectors clustered by the clustering means has a deviation in the clusters, and when it is determined that there is a cluster having a deviation, updating the feature vectors clustered in each cluster so as to improve the deviation; an extraction rule generating means for accomplishing machine learning based on the feature vectors in a cluster for each cluster and, based on results of the accomplished machine learning, generating for each of the clusters extraction rules for extracting words having the respective specific meaning; and an extraction rule application means for receiving a feature vector created from words in a document that is a target of meaning extracting, specifying the optimum extraction rule for this feature vector and extracting the meaning of words, in the document that is the target of meaning extraction, that were the source of creating the feature vector by applying the specified optimum extraction rule to the feature vector.