Machine Learning for SLU & Interaction
NIPS 2015 Workshop
Call For Papers
Emmanuel Huybrechts CC-BY-2.0
Machine Learning for Spoken Language Understanding and Interaction
NIPS 2015 workshop
11th December 2015, Montreal, Canada
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 recognise 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. ), utilising and enriching semantic graphs with natural language components, multi-modality, etc. are being explored in multiple communities, such 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.
Important Dates:
9th October 2015 Paper Submission (New Deadline)
28th October 2015 Notification of Acceptance
31th October 2015 Camera Ready Submission
11th December 2015 Workshop Day
Paper format:
4-6 pages + one page for references only
Organising committee:
Dilek Hakkani-Tür, Microsoft Research
Asli Celikyilmaz, Microsoft
Milica Gašić, University of Cambridge
Contact:
slunips15@gmail.com
http://slunips2015.wix.com/slunips2015
Poster Dimensions:
Standard A0 size : 1189 (height) X 841 (width) mm (46.8 (height) X 33.1 (width) in)