Call For Papers
The workshop invites paper submissions that will be presented in poster format. Topics of interest include (but are not limited to):
- representation learning for NLP
- novel theoretical ideas with assumptions suitable to NLP
- scalable inference/optimization techniques
- weakly-supervised approaches to handle lack of annotated data in complex structured prediction tasks
- problems in multilinguality, NLP for social media, discourse analysis, semantics, and other areas that would benefit from ML approaches and analysis
Submissions should be written as extended abstracts, no longer than 4 pages (excluding references) in the NIPS latex style. Relevant work previously presented in other conferences is encouraged, though submitters should note this in their submission. All submissions should be emailed to nips2014mlnlp@gmail.com