WORD MEANING RELATIONSHIP EXTRACTION DEVICE

摘要

It is an object to highly accurately perform semantic relationship extraction from text data by performing supervised learning of multiple classes using an existing thesaurus as a correct answer. Concerning any pair of words in a text, a plurality of kinds of similarities are calculated and a feature vector including the similarities as elements is generated. A label indicating a classification of a semantic relationship is given to pairs of words on the basis of the thesaurus. Data for semantic relationship identification is learned as an identification problem of multiple classes from the feature vector and the label. Identification of an inter-semantic relationship of two words is performed according to the data for semantic relationship identification.

主权项

1. A semantic relationship extraction device comprising:
means for generating, respectively for a set of words extracted from a text, feature vectors including a different plurality of kinds of similarities as elements; means for referring to a known dictionary and giving labels indicating semantic relationships to the feature vectors; means for learning, on the basis of a plurality of the feature vectors to which the labels are given, as an identification problem of multiple categories, data for semantic relationship identification used for identifying a semantic relationship; and means for identifying a semantic relationship for any set of words on the basis of the learned data for semantic relationship identification.