NPFL123 Dialogue Systems 1. Introduction

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NPFL123 Dialogue Systems1. Introductionhttps://ufal.cz/npfl123Ondřej Dušek, Vojtěch Hudeček & Jan Cuřín2. 3. 2021Charles UniversityFaculty of Mathematics and PhysicsInstitute of Formal and Applied Linguisticsunless otherwise stated

Organizational: NPFL123 – 2/2 C Ex – 5 Credits Lecture (Tue 10:40am) labs (Tue 9am/9:50am) Lecture: intro, theory Labs: practical examples, hands-on exercises To pass the course: Written exam – 10 freeform questions, covered by the lectures Lab exercises – weekly small homework implementing your system for a domain other small dialogue-related exercises Slides, news etc. at ufal.cz/npfl123NPFL123 L1 20212

About Us Ondřej Dušek: lectures, course guarantor PhD at ÚFAL, 2 years at Heriot-Watt Uni Edinburgh, now back worked mostly on language generation also chatbots (HWU Alexa Prize team) Vojtěch Hudeček: some labs, a bit of lectures PhD student at ÚFAL (4th year) working on dialogue management & language understanding internships at Uber AI & UC Davis on dialogue systems Jan Cuřín: dialog authoring tools, speech recognition The MAMA AI – Co-founder, 16 years at IBM Prague Research Lab PhD at ÚFAL in 2006 (machine translation) Dialog systems and applications, speech recognition, machine translationNPFL123 L1 20213

Course Syllabus1. Introduction (today)2. What happens in a dialogue?3.4.5.6.7.8.9.10.11.12.Dialogue system data & how to evaluateAssistants (Alexa, Siri, Google etc.), question answeringDialogue authoring/tooling systemsLanguage understanding (NLU)NLU Dialogue state trackingDialogue management (DM)DM Language generationSpeech recognitionSpeech synthesisChatbotsNPFL123 L1 20214

Recommended Reading There’s nothing ideal (active research topic!)Primary (brief): Jurafsky & Martin: Speech & Language processing. 3rd ed. draft 2020, Chap. 24(https://web.stanford.edu/ jurafsky/slp3/)Other (see also website): Gao et al.: Neural Approaches to Conversational AI, 2019 (http://arxiv.org/abs/1809.08267) McTear et al.: The Conversational Interface: Talking to Smart Devices. Springer 2016. Janarthanam: Hands-On Chatbots and Conversational UI Development. Packt 2017. Skantze: Error Handling in Spoken Dialogue Systems. PhD Thesis 2007, Chap. 2(http://www.speech.kth.se/ gabriel/thesis/chapter2.pdf) Jokinen & McTear: Spoken dialogue systems. Morgan & Claypool 2010. Psutka et al.: Mluvíme s počítačem česky. Academia 2006. Lemon & Pietquin: Data-Driven Methods for Adaptive Spoken Dialogue Systems. Springer 2012. Rieser & Lemon: Reinforcement learning for adaptive dialogue systems. Springer 2011.NPFL123 L1 20215

What’s a dialogue system?Definition: A (spoken) dialogue system is a computer system designed to interactwith users in (spoken) natural language Wide definition – covers lots of different casesNPFL123 L1 20216

“AI”: sci-fi vs. realityhttps://youtu.be/1ZXugicgn6U?t 3 Lots of talk about AI now Hype around Siri/Alexa/Google Sci-fi expectations – AI-complete Star Trek – know-it-all 2001 Space Odyssey –mutiny Her – personalityhttps://youtu.be/qDrDUmuUBTo We’re not there – probably for long main bottleneck: understanding(not speech comprehension, meaning!) more like the Red Dwarf talkie toasterNPFL123 L1 2021https://youtu.be/6QRvTv tpw0?t 27https://youtu.be/LRq SAuQDec?t 717

Example: Google Assistant Handling call for a client (Google IO 2018 demo) very natural speech show’s what’s possible now in a limited domain redirects to a human if it can’t handle a shop’s requesthttps://youtu.be/d40jgFZ5hXkNPFL123 L1 20218

Example: Alana Chatbot (Heriot-Watt University) Open-domainNPFL123 L1 ://www.dailymotion.com/video/x7takq4(the Alana section starts at 47:38)9

Why take interest in Dialogue Systems? I

4. Assistants (Alexa, Siri, Google etc.), question answering 5. Dialogue authoring/tooling systems 6. Language understanding (NLU) 7. NLU Dialogue state tracking 8. Dialogue management (DM) 9. DM Language generation 10. Speech recogn

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