overview
call for participation
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survey
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Call for Participation
We invite submission of workshop papers that discuss ongoing or
completed work dealing with Bayesian techniques applied to natural
language processing problems (see below for an incomplete list of
possible topics). A workshop paper should be no more than four
pages in the standard NIPS format (style files and examples are
available here). Authorship should not be
blind. Please submit a paper by emailing it in Postscript or PDF
format to with the
subject line "BNLP Submission". We anticipate accepting
four to six such papers for 15 minute presentation slots (exact
details will be worked out shortly). Please only submit an article if
at least one of the authors will be able to attend the workshop and
present the work.
We are especially interested in submissions from authors in the NLP
community who have not previously attended a NIPS conference. If you
fall into this category, please note this in your email when you
submit your paper.
Relevant Topics:
- Models that move beyond the bag-of-words assumption
- Techniques that apply to problems other than language modeling
- Structure-learning techniques for language
- Bayesian extensions to well-known NLP models
- Application of Bayesian techniques to NLP problems
- Both supervised and unsupervised techniques are welcome
We also welcome position papers of at most two pages in
length that discuss, with appropriate argumentation, whether or not
Bayesian techniques are applicable to NLP problems and, if so, which
ones. These should be submitted in the same way as standard workshop
papers. These will be used to help guide discussion during panel
sessions.
Important Dates:
| 18 Aug 05 | -- Call for participation |
| 1 Nov 05 | -- Paper submission deadline |
| 4 Nov 05 | -- Notification of paper acceptance |
| 25 Nov 05 | -- Survey and position paper deadlines |
| 9/10 Dec 05 | -- Workshop in Whistler |
Regardless of whether you submit a paper or not, if you are a
researcher in either the Bayesian learning community or the NLP
community, please complete our survey, which
will serve to guide the panel discussions at the workshop.
The official text-based call for papers is available here.
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