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Dialogue Systems 2: Notes from 11/3 2003

Dialogue Systems 2: Notes from 11/3 2003. Staffan Larsson sl@ling.gu.se. practical. Dialogue management User adaption:Pontus, Botte Use of emotions:Fredrik For robots: Anders ?For error handling: Gabriel ?AOD for agenda: Rebecca Modules Parsing and generation: Susanne Generation: Stina

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Dialogue Systems 2: Notes from 11/3 2003

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  1. Dialogue Systems 2:Notes from 11/3 2003 Staffan Larsson sl@ling.gu.se

  2. practical • Dialogue management • User adaption:Pontus, Botte • Use of emotions:Fredrik • For robots: Anders • ?For error handling: Gabriel • ?AOD for agenda: Rebecca • Modules • Parsing and generation: Susanne • Generation: Stina • ?Parsing, generation: Gabriel • Speech recognition: Gen • Mutilingual interpretation and generation: Rebecca • Application development • Agenda: Rebecca

  3. theoretical • Dialogue management • Issue-based: Rebecca, ?Fredrik, Stina • VXML-style: Botte, ?Anders • FSA+deliberation: Pontus • Dialogue grammars: Håkan • ?Other: Gabriel • NLP for dialogue systems • Parsing and generation: Stina, Susanne, Gabriel • Speech: Gen

  4. Interpretation in dialogue • Common problem: interpreting utterances in dialogue • Underspecified/incomplete utterances • Stina (use infostate) • Botte (use user model) • Susanne (use of dependency grammar) • Multilinguality • Rebecca

  5. metod • Korpusanvändning • ? • Implementation • alla • Utvärdering • ? • Väldefinierad metodologi • Pontus, …?

  6. Strategies for reuse • KTH: • Build new systems from scratch, but reuse some components • Framework/basic system for simple dialogue: ATLAS • Linköping: • Existing system: LINLIN/MALIN • Reuse for various applications • Software repositry: nlpFarm • Göteborg: • Existing framework: TrindiKit • Reuse of components • Existing system: GoDiS • Reuse of system for various applications

  7. Future of dialogue systems • Practical • Dealing with spoken language • User adaption • Multimodality • More complex dialogue (negotiation, planning)

  8. Dialogue systems and theory of dialogue • Try to build systems that behave as humans • Not necessarily practical • Make same mistakes as humans • Feedback etc. • Freudian slips?

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