智能技术学报

文章详情

稿件标题: Recent Advances on Human-Computer Dialogue
稿件作者: Xiaojie Wang, Caixia Yuan
关键字词: Human-Computer dialogue system; Natural Language Understanding; Dialogue Management; Natural Language Generation; Joint model
文章摘要: Human-Computer dialogue systems provide a natural language based interface between human and computers. They are widely demanded in network information services, intelligent accompanying robots, and so on. A Human-Computer dialogue system typically consists of three parts, namely Natural Language Understanding (NLU), Dialogue Management (DM) and Natural Language Generation (NLG). Each part has several different subtasks. Each subtask has been received lots of attentions, many improvements have been achieved on each subtask, respectively. But systems built in traditional pipeline way, where different subtasks are assembled sequently, suffered from some problems such as error accumulation and expanding, domain transferring. Therefore, researches on jointly modeling several subtasks in one part or cross different parts have been prompted greatly in recent years, especially the rapid developments on deep neural networks based joint models. There is even a few work aiming to integrate all s
收录刊物: 2016年1卷4期
稿件基金:
浏览次数: 334
下载次数: 127
点击下载