Paper: Knowledge Acquisition For Natural Language Generation

ACL ID W00-1429
Title Knowledge Acquisition For Natural Language Generation
Venue International Conference on Natural Language Generation
Session Main Conference
Year 2000
Authors

We describe the knowledge acquisition (KA) tech- niques used to build the STOP system, especially sorting and think-aloud protocols. That is, we de- scribe 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 sug- gest that they had some benefit, but perhaps were most successful as a source of insight and hypothe- ses, and should ideally have been supplemented by other techniques when deciding on the specific rules and knowledge incorporated into STOP.