Ontology-based discourse understanding for a persistent meeting assistant


Niekrasz John, Purver Matthew, Dowding John, Peters Stanley. Ontology-based discourse understanding for a persistent meeting assistant, in Persistent Assistants: Living and Working with AI: Papers from the 2005 AAAI Spring Symposium: Technical Report SS-05-05, AAAI Press, pp. 26-33, Mar 2005.


In this paper, we present research toward ontology-based understanding of discourse in meetings and describe an ontology of multimodal discourse designed for this purpose. We investigate its application in an integrated but modular architecture which uses semantically annotated knowledge of communicative meeting activity as well as discourse subject matter. We highlight how this approach assists in improving system performance over time and supports understanding in a changing and persistent environment. We also describe current and future plans for ontology-driven robust natural language understanding in the presence of the highly ambiguous and errorful input typical of the meeting domain.

Read more from SRI