Konferenciakalauz

The CLA Workshop is located within the framework of the IMCSIT conference to create a dialog between researchers and practitioners involved in Computational Linguistics and related areas of Information Technology.

IMCSIT is a multi-disciplinary conference gathering scientists form the different fields of IT & Computer Science together with representatives of industry and end-users. IMCSIT with its motto: “new ideas are born not inside peoples’ heads but in the space between them”, quickly became a unique place to share thoughts and ideas.

Workshop Goals

The Computational Linguistics – Applications Workshop was created in 2008 in response to the fast-paced progress in the area.

Traditionally, computational linguistics was limited to the scientists specialized in the processing of a natural language by computers. Scientific approaches and practical techniques come from linguistics, computer science, psychology, and mathematics. Nowadays, there is a number of practical applications available. These applications are sometimes developed by smart yet NLP-untrained developers who solve the problems using sophisticated heuristics.

Computational Linguistics needs to be applied to make the full use of the Internet. There is a definite need for software that can handle unstructured text to allow search for information on the web. According to the European Commission, Human Language Technologies are one of the key research areas for the upcoming years. The priority aim of the research in this area is to enable users to communicate with the computer in their native language.

CLA’10 Workshop is a place where the parties meet to exchange views and ideas with a benefit to all involved. The Workshop will focus on practical outcome of modeling human language use and the applications needed to improve human-machine interaction.

Paper Topics

This call is for papers that present research and developments on all aspects of Natural Language Processing used in real-life applications, such as (this list is not exhaustive):

information retrieval
extraction of linguistic knowledge from text corpora
semantic ontologies in computer linguistics
lexical resources
machine translation and translation aids
ambiguity resolution
text classification
corpus-based language modeling
POS-tagging
parsing issues
proofing tools
dialogue systems
machine learning methods applied to language processing
ontology and taxonomy evaluation
opinion mining
question answering
sentiment analysis
speech and audio processing
text summarization
use of NLP techniques in practical applications

Important dates

31.05.2010 (May 31, 2010) – Full paper submission
12.07.2010 (July 12, 2010) – Notification of acceptance
23.08.2010 (August 23, 2010) – Camera-ready version of the accepted paper