Third International Conference on Spoken Language Processing (ICSLP 94)

Yokohama, Japan
September 18-22, 1994

Coping with Aboutness Complexity in Information Extraction from Spoken Dialogues

Megumi Kameyama (1), Isao Arima (2)

(1) Artificial Intelligence Center, SRI International, Menlo Park, California, USA
(2) Laboratory for Information Technology, NTT DATA Communication Systems Corp., Kanagawa, Japan

We report on the strategies in automatic summarization of spontaneous spoken dialogues. Our dialogue summarization system, MIMI, recognizes key linguisitc patterns and merges information to construct a summary of conference room scheduling dialogues. Dialogues about single reservations can be accurately summarized with a simple merging scheme, but we need several extensions and changes to cope with the aboutncss complexity in unrestricted dialogues - knowing exactly how many reservations are being discussed and which reservation values must be updated by subsequent utterances. A side effect of these extensions is a new problem of overrecognition caused by spoken language disfluencies. Keywords: Spontaneous Dialogues, Summarization, Information Extraction

Full Paper

Bibliographic reference.  Kameyama, Megumi / Arima, Isao (1994): "Coping with aboutness complexity in information extraction from spoken dialogues", In ICSLP-1994, 87-90.