Name
Abstract | ||
|---|---|---|
This paper proposes an approach to enhance dialogue capabilities between humans and the computer, In order for a computer system to sustain a natural conversation without constraining the topic, it must be able to generate a natural response to a wide variety of topics. In particular, a good general-purpose dialogue system must be able to infer the user's intention from an utterance and be able to respond to it appropriately, A case-based dialogue system could provide an approach to solve these problems because it can work as an empirical language learner, and can become a better hearer and speaker for the human user as the case database becomes larger during dialogues. The goal of this research is to design an efficient case-base for a dialogue system, which contains dialogues between humans or between a human and a computer. We define "dialogue act", which is a key to finding the user's intention and for searching appropriate cases in the case-base. We describe how to extract useful knowledge from example dialogues and how to choose an optimal case to generate an appropriate response. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ICSMC.2001.969811 | 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE |
Keywords | Field | DocType |
natural language dialogue, example-based, dialogue acts, keywords matching, sentence generation | Information system,Conversation,Computer science,Utterance,Human–computer interaction,Natural language processing,Artificial intelligence,Case-based reasoning,Sentence generation,Case base,Natural language,Robot,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 3 | 0.41 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nobuo Inui | 1 | 6 | 6.46 |
| toshiaki ebe | 2 | 3 | 0.41 |
| Bipin Indurkhya | 3 | 193 | 51.14 |
| Yoshiyuki Kotani | 4 | 8 | 6.81 |