We welcome submissions both from academia and the industry on any topic that is of interest to the NLP community, particularly encouraging research emphasizing multidisciplinary aspects of NLP and the interplay between linguistics, computer science and application domains such as biomedicine, communication systems, public services, and educational technology.
Submitted papers should describe original work, emphasizing completed or well advanced, rather than intended, research. The state of completion of the reported work must be clearly indicated. Where appropriate, results should be rigorously evaluated; the assessment of statistical significance for quantitative results is encouraged. Submissions should contain original material that has not been previously presented to the scientific community. A parallel submission to other publication fora as well as a significant overlap in contents with previously published work should be clearly indicated to the program committee.
All submissions will be reviewed by at least three program committee members. The submissions will be judged on originality, relevance, technical quality, and presentation. Papers can be submitted in two categories:
- full papers, describing substantial research with well-evaluated results
- short papers, typically describing ongoing research and preliminary results
Submissions are made using EasyChair:
Go to http://www.easychair.org/conferences/?conf=icetal2010 and follow the instructions.
The submission deadline is Monday 19 April 2010 23:59 GMT -11, i.e., as long as its Monday 19 April 2010 somewhere on the planet, submission is still open.
The submissions should be sent anonymous, in PDF format.
The maximum length (including references) is 12pp for full papers and 5pp for short papers.
For the final version, authors should follow the LNCS instructions:
We strongly encourage the use of LaTeX2e:
All accepted papers in both categories will be published in the conference proceedings.
The conference proceedings will be published by Springer Publishers as a volume in the Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (LNCS/LNAI) series.