Software engineering, testing, and quality assurance for natural language processing (SETQA-NLP 2009)
A workshop of NAACL-HLT 2009
Boulder, Colorado
E-mail: kevin punto cohen arroba gmail.com
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Call for Papers

SETQA-NLP 2009


An NAACL-HLT 2009 Workshop
Boulder, CO
June 5, 2009
Submissions due: Monday, March 9, 2009, 11:59 PM Eastern US

Natural language, as an input type, has unique characteristics that present special problems for software testing, quality assurance, and even requirements specification. This workshop is intended to stimulate research in all areas of software engineering for natural language processing. The goals of the workshop include raising awareness of the need for good software engineering practices in NLP, stimulating research on same, and disseminating the results of current work in this area.

The target audience is researchers interested in natural language processing software, including testing and standardization, as well as grammar engineering.

Submissions of full papers and poster abstracts are solicited in all areas of software and grammar engineering, testing and quality assurance as they relate to natural language processing. Some suggested areas are:

  • Patterns for design, coding, refactoring, and unit testing of language processing systems
  • Test suite design and generation
  • Special issues in metrology for natural language processing
  • Grammar/rule engineering
  • Usability
  • Standardization of tools and/or resources
  • Design for and evaluation of reliability and robustness
  • Scalability issues in training and deployment
  • Reusability and toolkit design
  • Concurrency and multithreading for NLP
  • Theoretical issues in software engineering for NLP

IMPORTANT DATES

Submission deadline: Monday, March 9, 2009, 11:59 PM East Coast time
Notification of acceptance: Monday, April 6, 2009
Camera-ready copy due: Monday, April 13, 2009
Workshop: Friday, June 5, 2009

Click here for submission instructions



This document last modified Tuesday, 03-Mar-2009 15:04:37 MST.