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Talk and Look: Tools for Ambient Linguistic Knowledge A Project funded by the European Community under the Sixth Framework Programme for Research and Technological Development (IST-507802) D7.3 Public Project Presentation (update 2006)
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2 © TALK Consortium, 2006 The problem
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3 © TALK Consortium, 2006 The problem New technologies should make life easier. But... our high-tech environment makes ever greater demands on people We need … natural conversational interaction instead of complex controls and operating instructions
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4 © TALK Consortium, 2006 TALK objectives Natural communication requires Content: users say what they want Flexibility: users say it the way they want, with no need to learn the specific commands a device “expects” Adaptivity: system adapts to preferences, knowledge, and ability of user, and to context Learning: system uses dialogue strategies learned from experience, and continues to learn from its interactions with users
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5 © TALK Consortium, 2006 Background of the TALK project TALK ISU theory: Information State Updates for dialogue context management Reconfigurable systems Adaptivity, Learning of dialogue strategies Multimodal dialogue management Task domains: in-car, smart home
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6 © TALK Consortium, 2006 TALK consortium Overall Coordination Scientific Coordination
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7 © TALK Consortium, 2006 User categories Industrial users Developers of dialogue applications who need better dialogue design and more efficient development techniques Information about industrial user requirements through feedback by industrial partners in the consortium End users anybody with a car or a home Information about end user requirements through Industrial partners Market studies (e.g. JDPower & Assoc, Cisco Systems) Project-internal wizard-of-oz experiments and usability tests
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8 © TALK Consortium, 2006 Major exploitable results - Technologies Methods for designing better – flexible and adaptive – dialogue systems that learn from interactions with users, based on ISU technology Methods for rapid and cost-effective deployment of new dialogue applications through reconfigurable dialogue systems: Separating domain-specific information from generic communicative behavior Separating central aspects of dialogue structure from modality- and language-specific realisation
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9 © TALK Consortium, 2006 Subsidiary exploitable resuls Reusable software tools (e.g. TrindiKit, ATK, GF, DIPPER) Reusable annotated data archives and databases of application-specific knowledge, multimodal grammar library Design and methodology for conducting multimodal wizard- of-oz experiments, user testing of baseline in-car systems Contributions to standards (W3C, ISO, standards workshop with AMI project and W3C 12/12/05) Framework and system for ontology-based, generic presentation planning (DFKI/USAAR In-Car showcase, PATE/RDFS) Skills development: training PhD and Master students
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10 © TALK Consortium, 2006 Research results and resources (December 2005) Corpora (annotated data archive): SACTI 1 and 2 (UCAM) MIMUS (USEV) Sammie 1 and 2 corpora (DFKI/USAAR): MP3 WOZ corpora annotated at various levels ISU-annotated COMMUNICATOR data (UEDIN) Research results (highlights): Multilingual & multimodal grammars (e.g Tram Info and AgendaTalk dialogue systems, D1.2b) The Hidden Information State model (D4.3) Reinforcement Learning of dialogue strategies that outperform all COMMUNICATOR systems (D4.1) Software: ATK, Trindikit 4, GF 2.4, Reinforcement Learner, User Simulations, Automatic ISU annotator, several dialogue systems
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11 © TALK Consortium, 2006 Exploitation strategy Open source software 530 TrindiKit downloads, 413 GF downloads, 2985 ATK downloads, DIPPER 66 downloads approx 43,000 hits on TALK website in december 05 Continuous transfer of exploitable results to Industrial partners Business development executive (UEDIN) Funded by Scottish Enterprise (national economic development agency) Full time effort devoted to transfer of research in speech and language technology from University to industry (Licensing, Consulting, Joint projects, Spinouts) Similar service by Contact Office for Knowledge and Technology Transfer (USAAR)
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12 © TALK Consortium, 2006 Dissemination Strategy: Three target groups Research community: via scientific publications 11 refereed journal papers, 38 refereed conference papers 18 talks and invited lectures Standards workshop: TALK/AMI/W3C December 2005 General public: More than 15 press articles Press release, internet news releases, TV presentations, public demonstrations Industry: Uptake by industrial partners, testing by BMW and BOSCH Engagement with commercial R&D teams Planned presentations at Trade Fairs (e.g. CeBIT) Training: 5 PhD (4 completed), 19 MSc (6 completed) Anzere Spring School, ESSLLI 2006 advanced lecture course Project website: www.talk-project.org
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13 © TALK Consortium, 2006 Milestones Major milestones achieved in 2005: In-car systems Version 1.0 Adaptive dialogue system trained with human data International press release Standardization workshop with AMI and W3C (12/12/05) User testing of the baseline in-car systems Future milestones: Reconfigurable systems (early 2006) TALK workshop at a major conference (2006) Advanced lecture course at ESSLLI 2006 Evaluation of learned versus hand-coded systems Final evaluation of the in-car showcase (late 2006) Long-term effects: Scientific community will build on TALK results, standards, tools and resources (as happened with TRINDI and SIRIDUS) Industry will use TALK methods and tools for research and development
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