Recovering problem-solving activities from query messages

Authors:
Yoshihiko Hayashi
Affiliations:
NTT Information and Communication Systems Laboratories, Yokosuka, Japan
Venue:
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Year:
1995

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Abstract

We investigated a set of query messages taken from an Usenet newsgroup, and analyzed relations between the nature of problem-solving activities and their natural language descriptions. Based on the corpus investigation, this paper proposes an efficient computational mechanism for recovering problem-solving activities from query messages written in Japanese. The main claim of the paper is that the underlying problem-solving activity described in a natural language message can be efficiently recovered if provided with general knowledge on human problem-solving and the associated linguistic patterns in the descriptions.