言语行为自动分类研究综述

A Review on Automatic Speech Act Classification

言语行为自动分类对于对话系统、机器翻译和自动问答系统中问题理解和意图判断具有重要的意义,已成为信息检索和自然语言处理领域的一个研究热点。较为系统地介绍了言语行为的基本理论、经典分类体系、分类特征、分类算法和评价方法。最后,讨论了言语行为自动分类研究未来的研究方向。

Speech act classification is significant for question understanding and intention estimation in the domain of dialogue systems,machine translation and QA systems.The speech act classification is an active area of research both in information retrieval and natural language processing.We summarize the theory of speech act,speech act taxonomies,classification features,feature selection methods,classification algorithms and evaluation methods,and discuss the future research and development trend of speech act classification.