NAACL HLT 2007 Workshop:
Confidence Estimation for Natural Language Processing

Confidence estimation (CE) is a method for automatically estimating
the reliability of output generated by NLP systems. It is useful in
scenarios where the underlying systems make errors, especially when
human users are involved.  This is the case in many areas of NLP,
because systems are known to be imperfect. Applications can exploit
knowledge of likely mistakes to improve their interactions with
users and thereby enhance their overall effectiveness.
The workshop aims at bringing researchers from different NLP fields
together. We would like to provide a forum for sharing ideas,
techniques, and experience on common aspects of CE across different
areas of NLP. We hope to provide an opportunity for researchers to learn
from previous and ongoing work in other fields.

Organizers:

 Nicola Ueffing, National Research Council Canada
 George Foster, National Research Council Canada
 Cyril Goutte, National Research Council Canada

Paper submissions due: January 18

Workshop Home Page:

   http://ilt.iit.nrc.ca/CENLP/