1. Resurser/ramverkDomän, dialogtypPrakiskt fokusTeoretisk fokus RebeccaTrindikit/godis, GFInterface till handdator [AOD] Uppgradering av applikation, flerspråkighet [application] Issue-based DM, GF GabrielXML, OZCity navigation for pedestrians [IOD?] Speech error handling, system design, system module design [system+app] NLP for speech GenTrindikit/godis, Nuance VCR control [AOD]Improving speech reco using dialogue context (issues) [recognition module] Issue-based DM, speech recognition AndersExisting robot w/ dialogue system Robot interaction [AOD] Dialogue phase management, timing-related error handling [system+app] Robotics applied to dialogue management ? FredrikTrindikit/godis-Use of emotions to improve dialogue system behaviour [improving system] Emotive computing applied to dialogue systems ? PontusJava, nlpFarmFilmrekommendation [IOD] User adaption, dialogue management, system and application design [system+app] User adaption SusanneDependency grammar parser Question answering, svenska nyhetstexter[IOD] Parsing and generation using DG, collecting data from text using DG [parsing & generation modules, database resource] Use of DG in dialogue/QA systems StinaTrindikit/godis?Generating information rich consituents [generation module, (dialogue management)] Information structure and information state, IBDM BotteSesame & ATLASButler: information seeking in various domains User modeling [dialogue management] Using situational factors for user modling HåkanLINLIN/MALIN, JavaChart, Quaks Interface to SVT textApplication design

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

3. 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

4. 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

5. 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

6. metod Korpusanvändning –? Implementation –alla Utvärdering –? Väldefinierad metodologi –Pontus, …?

7. 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

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

9. 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?