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GoDiS and TrindiKit MITRE workshop 27/10-03

GoDiS and TrindiKit MITRE workshop 27/10-03. Staffan Larsson Göteborg University Sweden. TrindiKit and GoDiS. TrindiKit Toolkit for building and experimenting with dialogue move engines (dialogue managers) Information state update approach Information states Update rules Dialogue moves

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GoDiS and TrindiKit MITRE workshop 27/10-03

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  1. Goteborg University Dialogue Systems Lab GoDiS and TrindiKitMITRE workshop 27/10-03 Staffan Larsson Göteborg University Sweden

  2. Goteborg University Dialogue Systems Lab TrindiKit and GoDiS • TrindiKit • Toolkit for building and experimenting with dialogue move engines (dialogue managers) • Information state update approach • Information states • Update rules • Dialogue moves • GoDiS • A dialogue system implemented with TrindiKit • Issue-based dialogue management • Versions for Inquiry (IOD) and Action-oriented dialogue (AOD) genres

  3. Goteborg University Dialogue Systems Lab Dialogue task and source of back-end information • Task • Medical diagnosis • Information about diseases • Source of back-end information • Java backend application • Conntected to GoDiS using OAA • Not just a database • Also provides which questions to ask and which tests to perform • Dynamic dialogue planning • Type of dialogue • Inquiry-oriented • System-driven dialogue • Single task (but more can be added)

  4. Goteborg University Dialogue Systems Lab control DME input inter- pret update select gene- rate output • TIS • DEVICES LEXICON DOMAIN backend interface lexicon domain knowledge

  5. Goteborg University Dialogue Systems Lab Modules we needed to change for this exercise • Resources • Domain knowledge resource • Dialogue plans • Ontology • Device interface • Connection to Java database via OAA • Lexicon • Includes synonyms, extracted from backend • Modules • Some minor bug-fixes and improvements • These are not domain-specific, and will thus be reused in other domains

  6. Goteborg University Dialogue Systems Lab Domain knowledge • Dialogue plans for dealing with diagnosis • ?x.disease(x): ”which disease is diagnosed?” • ?confirmed_by_interview: ”Is the diagnosis confirmed by additional information?” • ?confirmed_by_tests: ”Is the diagnosis confirmed by medical tests?” • These issues are all assumed to be open when dialogue starts • Additional plans • ?x.info(x): ”What information is there about a given disease?” • ?x.treatment(x): ”What treatment is there for a given disease?”

  7. Goteborg University Dialogue Systems Lab Alternate solutions • User-driven dialogue • Not load issues when resetting; user has to raise all issues • Usr can ask sys to • Provide a diagnosis • Confirm whether usr has give disease • Decision trees as dialogue plans • Move backend knowledge into dialogue plans • Information conversion could be done automatically • Separate genre: expert system dialogue • Add special purpose update rules • Dynamic dialogue planning by expert

  8. Goteborg University Dialogue Systems Lab What was added to GoDiS? • 2 update rules • exec_assume • If assume(P) on top of plan, add P to /SHARED/COM • exec_assume_issue • If assume_issue(Q) on top of plan, push Q on SHARED/ISSUES • Possible useful additions • Subplans • Precedence constraints on tasks

  9. Goteborg University Dialogue Systems Lab Highlights • Reuse of GoDiS -> you get for free: • Feedback, grounding, sequencing • Though this is more useful with speech • Accommodation and clarification • incl. simple plan recognition (dependent issues) • Multiple simultaneous issues & information sharing between plans • High level of abstraction in dialogue plans • Modularity -> rapid prototyping • Separation of lexicon from domain knowledge • Additional languages can be easily added, and language can be changed online

  10. Goteborg University Dialogue Systems Lab Lowlights • GoDiS has not been used for this type of application, so not completely straightforward • Backend, not dialogue plans, determines which question should be asked next • Solution: each plan is loaded several times, until goal issue has been resolved • Generation and interpretation a bit tacky • Had to use AOD version to connect to device • Need to make an IOD version for devices • Accommodation has to be helped with ”bind” • Suggests different datastructure for plans

  11. Goteborg University Dialogue Systems Lab EXTRA SLIDES

  12. Goteborg University Dialogue Systems Lab Accommodation and clarification S> Are you feeling nauseous? U> yes and i have a headache [score 0.0-1.0]:0.8 S> Okay. headache. U> yes S> Hello U> malaria S> malaria. I dont quite understand. Do you want to confirm by interview , to confirm by taking tests , to get general information or to ask about treatment?

  13. Goteborg University Dialogue Systems Lab Tested with real users? • So far, not much • A little bit done by students • Starting soon (before Xmas) • Corpus collection • Application: VCR programming

  14. Goteborg University Dialogue Systems Lab Multiple simultaneous issues, information sharing S> Hello How are you feeling today? U> I have a headache S> Okay. Are you feeling nauseous? U> Um… can I have som information about a disease? S> Okay. Lets see. What disease do you want to know about?? U> I also want to know about treatment S> Okay. Lets see. What disease do you want to know about?? U> malaria S> Malaria can be cured with prescription drugs… S> Returning to the issue of information. Malaria is a serious, sometimes fatal, disease caused by a parasite… S> Returning to the issue of your diagnosis. Are you feeling nauseous?

  15. Goteborg University Dialogue Systems Lab GoDiS-AOD information state AGENDA : stack( Action ) PLAN : stackset( Action ) PRIVATE : BEL : set( Prop ) TMP : (same type as SHARED) COM : set( Prop ) ACTIONS : stackset( Action ) SHARED : QUD : stackset( Question ) ISSUES: stackset(Question) LU:…

  16. Goteborg University Dialogue Systems Lab TrindiKit:How to build a system

  17. How to use TrindiKit We start from TrindiKit Implements the information state approach Takes care of low-level programming: dataflow, datastructures etc. Goteborg University Dialogue Systems Lab TrindiKit information state approach

  18. How to build a basic system Formulate a basic dialogue theory Information state Dialogue moves Update rules Add appropriate modules (speech recognition etc) Goteborg University Dialogue Systems Lab basic dialoguetheory basic system TrindiKit information state approach

  19. How to build a genre-specific system Add genre-dependent IS components, moves and rules Goteborg University Dialogue Systems Lab genre-specific theory additions genre-specific system basic dialoguetheory basic system TrindiKit information state approach

  20. How to build an application Add application-specific resources Goteborg University Dialogue Systems Lab application domain & language resources genre-specific theory additions genre-specific system basic dialoguetheory basic system TrindiKit information state approach

  21. Goteborg University Dialogue Systems Lab application-specific Xerox manual home device manager Travel Agency VCR manager Auto- route genre-specific GoDiS-I GoDiS-A IBDM GoDiS TrindiKit IS approach

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