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Introduction

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Developing Enterprise Chatbots

Abstract

This chapter is an Introduction to the book. We analyze a lack of intelligence as a major bottleneck of current dialogue systems, briefly survey current trends, discuss how to demo a chatbot and outline the pathway towards an industrial-strength one.

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References

  • Amazon Alexa (2018) https://www.amazon.com/Amazon-Echo-Bluetooth-Speaker-with-WiFi-Alexa/dp/B00X4WHP5E.2

  • Bordes A, Weston J (2016) Learning end-to-end goal-oriented dialog. arXiv preprint arXiv. 1605.07683

    Google Scholar 

  • Bowden K, Oraby S, Misra A, Wu J, Lukin S (2017) Data-driven dialogue systems for social agents. In: International workshop on spoken dialogue systems

    Google Scholar 

  • Cowley J (2018) Snake and lizard by Joy Cowley. https://www.eventfinda.co.nz/2010/oct/mangere/snake-and-lizard-by-joy-cowley

  • DialogFlow (2018) DialogFlow.com

  • Eric M, Krishnan L, Charette F, Manning CD (2017) Key-value retrieval networks for task-oriented dialogue. In: Proceedings of the 18th annual SIGdial meeting on discourse and dialogue, Saarbrucken, Germany, pp 37–49

    Google Scholar 

  • Fang H, Cheng H, Clark E, Holtzman A, Sap M, Ostendorf M, Choi Y, Smith NA (2017) Sounding Board – University of Washington’s Alexa Prize Submission. Alexa prize proceedings

    Google Scholar 

  • Galitsky B, Ilvovsky D (2017a) Chatbot with a discourse structure-driven dialogue management, EACL Demo Program

    Google Scholar 

  • Galitsky B, Ilvovsky D (2017b) On a chat bot finding answers with optimal rhetoric representation. Proc Recent Adv Nat Lang Process 2017:253–259. Varna, Bulgaria, Sept 4–6

    Google Scholar 

  • Galitsky B, Ilvovsky D (2018) Building dialogue structure from an initial query. SCAI @ EMNLP

    Google Scholar 

  • GitHub (2018) https://github.com/bgalitsky/relevance-based-on-parse-trees

  • Google Home (2018) https://madeby.google.com/home/features/

  • Henderson M, Thomson B, Williams J (2014) The second dialog state tracking challenge. In: Proceedings of SIGDIAL. ACL Association for Computational Linguistics

    Google Scholar 

  • Higashinaka R, Imamura K, Meguro T, Miyazaki C, Kobayashi N, Sugiyama H, Hirano T, Makino T, and Matsuo Y (2014) Towards an open-domain conversational system fully based on natural language processing. In: COLING-2014

    Google Scholar 

  • Hirschman L (2000) Evaluating spoken language interaction: experiences from the DARPA spoken language program 1990–1995. Spoken language discourse. MIT Press, Cambridge, MA, p 2000

    Google Scholar 

  • Janarthanam S (2017) Hands-on chatbots and conversational UI development: build chatbots and voice user interfaces with chatfuel, dialogflow, microsoft bot framework, Twilio, and Alexa Skills. Packt Publishing, Birmingam/Mumbai

    Google Scholar 

  • Khan R, Das A (2017) Build better chatbots: a complete guide to getting started with chatbots. Springer, Cham

    Google Scholar 

  • Liu F, Perez J (2016) Gated end-to-end memory networks. arXiv preprint arXiv. 1610.04211

    Google Scholar 

  • Pierson RM (2016) What went so wrong with Microsoft’s Tay AI? Readwrite.com. https://readwrite.com/2016/03/28/went-wrong-microsofts-tay-ai/

  • Quach K (2018) AI trained to sniff out fake news online may itself be fake news: Bot has mixed results in classifying legit titles. Be careful who you read. https://www.theregister.co.uk/2018/10/05/ai_fake_news/

  • Stone B, Soper S (2014) Amazon unveils a listening, talking, music-playing speaker for your home. Bloomberg L.P. Retrieved 2018-11-07

    Google Scholar 

  • Terdiman D (2018) Here’s how people say Google Home and Alexa impact their lives. FastCompany https://www.fastcompany.com/40513721/heres-how-people-say-google-home-and-alexa-impact-their-lives

  • Williams S (2018) Hands-On Chatbot Development with Alexa Skills and Amazon Lex: Create custom conversational and voice interfaces for your Amazon Echo devices and web platforms. Packt Publishing, Birmingam/Mumbai

    Google Scholar 

  • Williams JD, Asadi K, Zweig G (2017) Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning. arXiv preprint arXiv. 1702.03274

    Google Scholar 

  • Young S, Gasic M, Thomson B, Williams JD (2013) POMDP-based statistical spoken dialog systems: a review. Proc IEEE 28(1):114–133

    Google Scholar 

Download references

Acknowledgements

The author is grateful to Dmitri Ilvovsky, Tatyana Machalova, Saveli Goldberg, Sergey O. Kuznetsov, Dina Pisarevskaya, Anna Parnis, Josep Lluis de la Rosa, Greg Makowski and other co-authors for fruitful discussions on the topic.

The author appreciates the help of his colleagues from the Digital Assistant team at Oracle Corp. Gautam Singaraju, Vishal Vishnoi, Anfernee Xu, Stephen McRitchie, Saba Teserra, Jay Taylor, Sri Gadde and Sanga Viswanathan.

The author acknowledges substantial contribution of the legal team at Oracle to make this book more readable, thorough and comprehensive. Kim Kanzaki, Stephen Due, Mark Mathison and Johnny Tang worked on the patents described in this book and stimulated a lot of ideas which found implementation in this book. The work of Dmitry Ilvovsky was supported by the Russian Science Foundation under grant 17-11-01294 and performed at National Research University Higher School of Economics, Russia.

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Galitsky, B. (2019). Introduction. In: Developing Enterprise Chatbots. Springer, Cham. https://doi.org/10.1007/978-3-030-04299-8_1

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  • DOI: https://doi.org/10.1007/978-3-030-04299-8_1

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