Answering What-type and Who-type Questions for Non-task-oriented Dialogue Agents

摘要

In this study, we propose a method for responding to what-type and who-type questions with no single fixed response handled by a non-taskoriented dialogue agent using Wikipedia as a language resource. The proposed method extracts nouns from a provided question text and then extracts an article from Wikipedia containing most of those nouns in its title. Next, words are extracted from the extracted article, and the degree of similarity between the extracted words and nouns extracted from question text is calculated. Words with a high degree of similarity are then acquired as response candidates. Next, the response candidates are ranked using the Wikipedia article structure and the text within the article, and the first-place response candidate is used for a response. According to the evaluation experiments, it was confirmed that the proposed method is capable of relatively natural responses in comparison to a baseline.