EMPTY CATEGORY ESTIMATION DEVICE, EMPTY CATEGORY ESTIMATION MODEL LEARNING DEVICE, METHOD, AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To make it possible to estimate the position of the empty category of an input text precisely.SOLUTION: A feature extraction unit 230 extracts dispersion expression of a word as the feature vector of a candidate for the position of an empty category relative to each candidate for the position of the empty category based on the dependency structure tree of an input text. An estimation unit 238 estimates the position of the empty category and an empty category label based on a model including a mapping from a feature vector to a lower dimensional space and a mapping from each of empty category labels to the lower dimensional space that have been learned in advance and the feature vector of each of the candidates of the position of the extracted empty category.SELECTED DRAWING: Figure 3