Abstract
We describe the knowledge acquisition (KA) techniques used to build the stop system, especially-sorting and think-aloud protocols. That is, we describe the ways in which we interacted with domain experts to determine appropriate user categories, schemas, detailed content rules, and so Forth for stop. Informal evaluations of these techniques suggest that they had some benefit, but perhaps were most successful as a source of insight and hypotheses, and should ideally have been supplemented by other techniques when deciding on the specific rules and knowledge incorporated into stop.
| Original language | English |
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| Title of host publication | INLG 2000 - Proceedings of the 1st International Conference on Natural Language Generation |
| Editors | Michael Elhadad |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 217-224 |
| Number of pages | 8 |
| ISBN (Electronic) | 9659029608, 9789659029600 |
| Publication status | Published - 2000 |
| Event | 1st International Conference on Natural Language Generation, INLG 2000 - Mitzpe Ramon, Israel Duration: 12 Jun 2000 → 16 Jun 2000 |
Conference
| Conference | 1st International Conference on Natural Language Generation, INLG 2000 |
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| Country/Territory | Israel |
| City | Mitzpe Ramon |
| Period | 12/06/00 → 16/06/00 |
Bibliographical note
Funding Information:Many thanks to James Friend, Scott Lennox, Martin Pucchi, Margaret Taylor, and all of the other experts who worked with us. Thanks also to Yaji Sripada and the anonymous reviewers for their very helpful comments. This research was supported by the Scottish Office Department of Health under grant K/OPR/2/2/D318, and the Engineering and Physical Sciences Research Council under grant GR/L48812.
Publisher Copyright:
© INLG 2000 - Proceedings of the 1st International Conference on Natural Language Generation. All rights reserved.