Recovering Problem-Solving Activities from Query Messages
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.
Cite
Text
Hayashi. "Recovering Problem-Solving Activities from Query Messages." International Joint Conference on Artificial Intelligence, 1995.Markdown
[Hayashi. "Recovering Problem-Solving Activities from Query Messages." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/hayashi1995ijcai-recovering/)BibTeX
@inproceedings{hayashi1995ijcai-recovering,
title = {{Recovering Problem-Solving Activities from Query Messages}},
author = {Hayashi, Yoshihiko},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1995},
pages = {1711-1720},
url = {https://mlanthology.org/ijcai/1995/hayashi1995ijcai-recovering/}
}