Journal Information
Computer Speech and Language
http://www.journals.elsevier.com/computer-speech-and-language/
Impact Factor:
1.9
Publisher:
ELSEVIER
ISSN:
0885-2308
Viewed:
4752
Tracked:
1

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Call For Papers
Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language.

The speech and language sciences have a long history, but it is only relatively recently that large-scale implementation of and experimentation with complex models of speech and language processing has become feasible. Such research is often carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, information retrieval, linguistics, phonetics, or psychology.

The journal provides a focus for this work, and encourages an interdisciplinary approach to speech and language research and technology. Thus contributions from all of the related fields are welcomed in the form of reports of theoretical or experimental studies, tutorials, reviews, and brief correspondence pertaining to models and their implementation, or reports of fundamental research leading to the improvement of such models.

Research Areas Include

    Algorithms and models for speech recognition and synthesis
    Natural language processing for speech understanding and generation
    Statistical computational linguistics
    Computational models of discourse and dialogue
    Information retrieval, extraction and summarization
    Speaker and language recognition
    Computational models of speech production and perception
    Signal processing for speech analysis, enhancement and transformation
    Evaluation of human and computer system performance
Last updated by Dou Sun in 2017-08-05
Special Issues
Special Issue on Results from the 6th Dialog System Technology Challenge (DSTC6)
Submission Date: 2018-02-28

The 6th dialog system technology challenge (DSTC6) explores how to apply End-to-End technologies to Dialog Systems in a pragmatic way. Concretely, DSTC6 consists of three tracks: (1) End-to-End Goal Oriented Dialog Learning for table booking (2) End-to-End Conversation Modeling for customer service on social media (3) Dialog Breakdown Detection For each track, we have released data and evaluation tools, as well as a baseline setups consisting of training tools and models. For all tracks, the final evaluation data will be released on Sep. 25th, with final results announced on Oct. 8th. In December, DSTC6 will hold a wrap-up workshop to review results. There are currently approximately 100 registered participants across the 3 tracks. For more information, see http://workshop.colips.org/dstc6/index.html This special issue will host work based on any of the three DSTC6 tasks. We anticipate most papers will describe DSTC6 entries, and we particularly welcome papers describing novel techniques that advance the state-of-the-art in dialog system technologies. Papers may describe entries in the official DSTC6 challenge, or work on DSTC6 data but outside or after the official challenge. We also welcome papers that analyze the DSTC6 tasks or results themselves.
Last updated by Dou Sun in 2017-12-16
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