-------- Forwarded Message --------
SLSP 2020: call for posters
*To be removed from our mailing list, please respond to this
message with UNSUBSCRIBE in the subject line*
**********************************************************************************
The 8th International Conference on Statistical Language and
Speech Processing (SLSP 2020) invites researchers to submit poster
presentations. SLSP 2020 will be held in Cardiff on October 14-16,
2020. See
https://irdta.eu/slsp2020/
Poster presentations are intended to enhance informal interactions
with conference participants, at the same time allowing for
in-depth discussion.
TOPICS
Presentations displaying novel work in progress on statistical
models (including machine learning) for language and speech
processing are encouraged. Posters do not need to show final
research results. Work that might lead to new interesting
developments is welcome.
KEY DATES
Poster submission deadline: September 7, 2020
Notification of poster acceptance or rejection: September 14, 2020
SUBMISSION
Please upload a .pdf submission to:
https://easychair.org/conferences/?conf=slsp2020
It should contain the title, author(s) and affiliation, and should
not exceed 500 words.
PRESENTATION
Posters will be allocated 10 minutes each in the programme for
oral presentation. Moreover, they will remain hanging out during
the whole conference for discussion.
PUBLICATION
Posters will not appear in the LNCS/LNAI proceedings volume of
SLSP 2020. However, they will be eligible for submission to the
post-conference journal special issue in Language Resources and
Evaluation (Springer, JCR 2018 impact factor: 1.029).
REGISTRATION
At least one author of each accepted poster must register to the
conference by September 21, 2020. The registration fare is
reduced: 285 Euros. It gives the same rights all other conference
participants will have (attendance, copy of the proceedings
volume, coffee breaks, lunches). Contributors of regular papers
who in addition get a poster accepted must register for the latter
independently.