We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.
|Title of host publication||Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing|
|Place of Publication||Trento, Italy|
|Publisher||Association for Computational Linguistics|
|Number of pages||8|
|Publication status||Published - Apr 2006|
|Event||Knowledge and Reasoning for Language Processing - Trento, Italy|
Duration: 3 Apr 2006 → 7 Apr 2006
|Conference||Knowledge and Reasoning for Language Processing|
|Abbreviated title||KRAQ 06|
|Period||3/04/06 → 7/04/06|
Dzikovska, M. O., Callaway, C. B., & Farrow, E. (2006). Interpretation and generation in a knowledge-based tutorial system. In Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing (pp. 4-11). Association for Computational Linguistics.