Large-scale Collection and Analysis of Personal Question-Answer Pairs for Conversational Agents

Autor:	Yasuhiro Minami, Hiroaki Sugiyama, Toyomi Meguro, Ryuichiro Higashinaka
Rok vydání:	2014
Předmět:	business.industry media_common.quotation_subject Frequently asked questions Internet privacy Conversational system Persona Crowdsourcing Scale (social sciences) Personality Conversation Question answer business Psychology Social psychology media_common
Zdroj:	Intelligent Virtual Agents ISBN: 9783319097664 IVA
DOI:	10.1007/978-3-319-09767-1_53
Popis:	In conversation, a speaker sometimes asks questions that relate to another speaker’s detailed personality, such as his/her favorite foods and sports. This behavior also appears in conversations with conversational agents; therefore, agents should be developed that can respond to such questions. In previous agents, this was achieved by creating question-answer pairs defined by hand. However, when a small number of persons create the pairs, we cannot know what types of questions are frequently asked. This makes it difficult to know whether the created questions cover frequently asked questions; therefore, such essential question-answer pairs for conversational agents are possibly overlooked. This study analyzes a large number of question-answer pairs for six personae created by many question-generators, with one answer-generator for each persona. The proposed approach allows many questioners to create questions for various personae, enabling us to investigate the types of questions that are frequently asked. A comparison with questions appearing in conversations between humans shows that 50.2% of the questions were contained in our question-answer pairs and the coverage rate was almost saturated with the 20 recruited question-generators.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d1d99b309cbb713274e21f41c31c8601 https://doi.org/10.1007/978-3-319-09767-1_53 Zobrazit plný text záznamu