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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Thu, 14 Mar 2019 15:38:50 +0100
Aleksandr Chuklin <[log in to unmask]>
Aleksandr Chuklin <[log in to unmask]>
Jeff Dalton <[log in to unmask]>, [log in to unmask], Mikhail Burtsev <[log in to unmask]>
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                                         CALL FOR PARTICIPATION


The 3rd International Workshop on Search-Oriented Conversational AI
(SCAI) - WWW'19 Special


Twitter: @scai_workshop

 in conjunction with The Web Conference 2019, San Francisco, USA, May
14 2019, 9:00–12:30.


More and more information is found and consumed in a conversational
form rather than using traditional search engines. Chatbots, personal
assistants in our phones and eyes-free devices are being used
increasingly more for different purposes, including information
retrieval and exploration. On the other side, information retrieval
empowers dialogue systems to answer questions and to get context for
assisting the user in her tasks. With the recent success of deep
learning in different areas of natural language processing, this
appears to be the right foundation to power search
conversationalization. Yet, we believe more can be done for theory and
practice of conversation-based search and search-based dialogues.

This workshop aims to bring together ML and NLP researchers on one
hand and Web Search/IR specialists on the other hand to lay the
groundwork for collaboration on search-oriented conversational AI and
establish future directions.

The 1st edition of the workshop was co-located with International
Conference on the Theory of Information Retrieval (ICTIR 2017).
The 2nd edition of the workshop was co-located with the Conference on
Emperical Methods in Natural Language Processing (EMNLP 2018).


- Surfacing search results in form of a dialogue (how to present
information that search gives us in a form of a dialogue? Which model
to use for dialogue-state tracking?
- Evaluation of search-oriented conversational AI: despite early
attempts at computing dialogue system’s quality in a scaleable way,
this is still an open challenge.
- From conversational AI to personal assistants (how to maintain a
stable and consistent assistant behavior)
- Personalization for conversational AI and for its evaluation (what
aspects and knowledge is needed for personalized experiences)
- Deep Learning for conversational search: how to make it more
grounded to the knowledge of the Web
- Reinforcement Learning for conversational AI
- Voice as input (voice interactions with a personal assistant: how it
will affect existing models?)
- Specialized applications and uses cases for conversational search
(specialized domains in health, finance, travel, etc…)
- Balance and bias for more inclusive conversational AI systems


- Invited talks
- Panel discussion: you can send your suggestions
- Breakout session to plan a roadmap for Conversational AI


- Dilek Hakkani-Tür, Amazon Alexa AI
- Larry Heck, Samsung Research
- Zhou Yu, University of California, Davis

Startup participation:

- Eloquent Labs: Gabor Angeli
- Replika AI: Nicolas Ivanov
- Rulai: Yi Zhang
- Mosaix: Ni Lao


- Julia Kiseleva, Microsoft Research & AI, Seattle
- Jeff Dalton, University of Glasgow, Glasgow
- Aleksandr Chuklin, Google AI, Zürich
- Mikhail Burtsev, MIPT, Moscow

Aleksandr Chuklin | Google AI Zürich | [log in to unmask]

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