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NIPS 2015 Workshop on Machine Learning for Spoken Language Understanding and Interaction
Call for Papers
Machine Learning for Spoken Language Understanding and Interaction http://slunips2015.wix.com/slunips2015#!call-for-papers/aboutPage
Date: 11th December 2015 A workshop at the Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015) Montreal, QC, Canada, December 11, 2015.
4th October 2015 Paper Submission
24th October 2015 Notification of Acceptance
29th October 2015 Camera Ready Submission
11th December 2015 Workshop Day
The emergence of virtual personal assistants such as SIRI, Cortana, Echo, and Google Now, is generating increasing interest in research in speech understanding and spoken interaction. However, whilst the ability of these agents to recognize conversational speech is maturing rapidly, their ability to understand and interact is still limited to a few specific domains, such as weather information, local businesses, and some simple chit-chat. Their conversational capabilities are not necessarily apparent to users. Interaction typically depends on handcrafted scripts and is often guided by simple commands. Deployed dialogue models do not fully make use of the large amount of data that these agents generate. Promising approaches that involve statistical models, big data analysis, representation of knowledge (hierarchical, relations, etc. ), utilizing and enriching semantic graphs with natural language components, multi-modality, etc. are being explored in multiple communities, suc h as natural language processing (NLP), speech processing, machine learning (ML), and information retrieval. However, we are still only scratching the surface in this field. The goal of this workshop is to bring together both applied and theoretical researchers in spoken/natural language processing and machine learning to facilitate the discussion of new frameworks that can help advance modern conversational systems. We invite you to submit original papers. Papers will be peer-reviewed and presented as posters. Proceedings will be published online in open access. Organizers also target a special issue in a dedicated journal, after the workshop.
Jason Weston, Facebook AI
Li Deng - Microsoft Research
Larry Heck - Google
Dan Roth - University of Ilinois - Urbana Champaign
Tomas Mikolov - Facebook AI
Kallirroi Georgila - University of Southern California
Pascal Poupart - University of Waterloo
Alan Black - Carnegie Mellon University
Olivier Pietquin - Lille University
Blaise Thomson - VocalIQ
Paper format: 4-6 pages + one page for references only. The submission web site is: http://slunips2015.wix.com/slunips2015#!submission/s1ifo
Organizing committee: Asli Celikyilmaz, Microsoft Milica Gašić, University of Cambridge Dilek Hakkani-Tür, Microsoft Research
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