- author = "Kyoung Min Kim and Sung-Soo Lim and Sung-Bae Cho",
- title = "User Adaptive Answers Generation for Conversational Agent Using Genetic Programming",
- booktitle = "Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Proceedings",
- year = "2004",
- pages = "813--819",
- editor = "Zheng Rong Yang and Richard M. Everson and Hujun Yin",
- publisher = "Springer",
- series = "Lecture Notes in Computer Science",
- volume = "3177",
- ISBN = "3-540-22881-0",
- bibsource = "DBLP, http://dblp.uni-trier.de",
- address = "Exeter, UK",
- month = aug # " 25-27",
- organisation = "IEEE",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1007/b99975",
- abstract = "Recently, it seems to be interested in the conversational agent as an effective and familiar information provider. Most of conversational agents reply to user's queries based on static answers constructed in advance. Therefore, it cannot respond with flexible answers adjusted to the user, and the stiffness shrinks the usability of conversational agents. In this paper, we propose a method using genetic programming to generate answers adaptive to users. In order to construct answers, Korean grammar structures are defined by BNF (Backus Naur Form), and it generates various grammar structures using genetic programming (GP). We have applied the proposed method to the agent introducing a fashion web site, and certified that it responds more flexibly to users queries",
-
notes = "http://www.dcs.ex.ac.uk/ideal04/
Dept. of Computer Science, Yonsei University, 134 Shinchon-dong, Seodaemoon-ku, Seoul 120-749, Korea",
