1st International Conference on Statistical Language and Speech Processing, SLSP 2013,
Proceedings will be available as volume LNAI 7978 (LNCS).
|March 15, 2013||paper submission, extended deadline (closing at 23:59h, CET)|
|April 16, 2013||notification of paper acceptance or rejection|
|April 24, 2013||final version of the paper for the LNAI proceedings|
|April 24, 2013||early registration|
|July 19, 2013||late registration|
|October 31, 2013||submission to the post-conference journal special issue|
A special issue of a major journal will be later published containing peer-reviewed extended versions of some of the papers contributed to the conference. Submissions will be by invitation.
SLSP is the first event in a series to host and promote research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large, well-known conferences including papers in any of these fields, SLSP is a more focused meeting where synergies between areas and people will hopefully happen. SLSP will reserve significant space for young scholars at the beginning of their careers.
SLSP 2013 will take place in Tarragona, 100 km. to the south of Barcelona.
The conference invites submissions discussing the employment of statistical methods (including machine learning) within language and speech processing. The list below is indicative and not exhaustive:
SLSP 2013 will consist of
Authors are invited to submit papers presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (including eventual appendices) and should be formatted according to the standard format for Springer Verlag's LNAI series. Submissions are to be uploaded to: https://www.easychair.org/conferences/?conf=slsp2013.
We kindly ask all the participants to register, including invited persons and members of the organising committee.
A list with other conferences on Natural Language processing is available here. (COMS)