SPIN: LANGUAGE UNDERSTANDING FOR SPOKEN DIALOGUE SYSTEMS USING A PRODUCTION SYSTEM APPROACH
Abstract:
This paper describes a language understanding module for spoken dialogue systems producing frame based semantic output. The presented approach adapts ideas from production systems to the task of language understanding. It interleaves in a new manner template-driven cascaded word-to-frame transformation with syntactic analysis. The advantages over conventional parsers are the flexible output structure being independent of the syntactic structure in a wide range, the ability to use different levels of syntactic analysis at the same time and better support for relatively free word order languages like German. Other important properties are robustness, the capability to process complex utterances, and the easy creation of knowledge bases. A preliminary evaluation shows promising results. 1.
Citations
| 402 | Rete: A fast algorithm for the many pattern/many object pattern match problem – Forgy - 1982 |
| 134 | tina: A natural language system for spoken language applications – Seneff - 1992 |
| 104 | A robust system for natural spoken dialogue – Allen, Miller, et al. - 1996 |
| 72 | SmartKom: Multimodal communication with a life-like character – Wahlster, Reithinger, et al. - 2001 |
| 58 | Understanding Spontaneous Speech: the Phoenix System – Ward - 1991 |
| 16 | Profer: Predictive, Robust Finite-State Parsing for Spoken Language – Kaiser, Johnston, et al. - 1999 |
| 12 | Cascaded ATN Grammars – Woods - 1980 |
| 1 | Deutsche Syntax deklarativ, Max Niemeyer – Müller - 1999 |
