LINGUIST List 27.2679

Mon Jun 20 2016

Confs: Computational Linguistics/Japan

Editor for this issue: Anna White <awhitelinguistlist.org>


Date: 20-Jun-2016
From: Nicholas Ruiz <nruizinteractions.com>
Subject: Workshop on Speech-Centric Natural Language Processing
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Workshop on Speech-Centric Natural Language Processing
Short Title: SCNLP


Date: 11-Dec-2016 - 11-Dec-2016
Location: Osaka, Japan
Contact: Nicholas Ruiz
Contact Email: < click here to access email >
Meeting URL: http://speechnlp.github.io/2016

Linguistic Field(s): Computational Linguistics

Meeting Description:

SCNLP's goal is to unite the ASR and NLP communities to discuss new frameworks for exploiting the rich information present in the speech signal to improve the capabilities of natural language processing applications such as conversational agents, question-answering systems, machine translation, and search. In addition to acoustic environment information, the audio signal may contain speaker-specific features which may identify the emotional state, demographic information, and the presence of uncertainty in the speaker’s utterance: features which may influence the output of the NLP component. SCNLP encourages novel contributions that revisit the conventional NLP problems with a focus on incorporating the richness of spoken language, as well as contributions that promote cross-fertilization between statistical methods for ASR and NLP.

Call for Papers:

We invite submissions of both long and short papers on original and unpublished work. Similar to the main conference, submissions are limited to 8 pages. All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally.

Topics of interest include but are not limited to:

Joint ASR/NLP modeling using deep learning
Spoken query reformulation for Question/Answering systems
ASR error modeling and evaluation for NLP
Emotive Speech Synthesis for Spoken dialogue systems
Word-sense disambiguation for speech
Information extraction from speech transcripts
Domain adaptation (Adapting textual NLP training data to speech-centric tasks)
Rich speech transcription
Disfluency and uncertainty detection
NLP with ASR lattices/confusion networks
Speech segmentation for NLP
Discourse and Speech Processing

Important Dates

June 2016: First call for workshop papers
September 25 2016: Workshop paper due
October 16 2016: Notification of acceptance
October 30 2016: Camera-ready due
November 30, 2016: Official proceedings publication date
December 11, 2016: Workshop date


Page Updated: 20-Jun-2016