Recovering Problem-Solving Activities from Query Messages
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Planning. Pages 1711-1719.
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 J a.pa.nese. 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.
@inproceedings{ijcai1995p220,
title = {Recovering Problem-Solving Activities from Query Messages},
author = {Hayashi, Yoshihiko},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1711--1719},
year = {1995},
note = {Planning},
url = {https://ijcai.org/proceedings/1995/220},
}
TY - CPAPER TI - Recovering Problem-Solving Activities from Query Messages AU - Hayashi, Yoshihiko T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1711 EP - 1719 UR - https://ijcai.org/proceedings/1995/220 ER -Copied
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