SIGGEN

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ACL Special Interest Group on Natural Language Generation

Siggen logo small.JPG

Welcome to the home page of the Association for Computational Linguistics Special Interest Group on Natural Language Generation. SIGGEN [ˈsɪɡ.ʤɛn] is a special interest group of the Association for Computational Linguistics (ACL). It provides a forum for the discussion, dissemination and archiving of research topics and results in the field of text generation.

Active topics of interest include:

  • Discourse models, content planning.
  • Syntactic realization: formalisms and models of grammars for sentence production.
  • Architecture of generators.
  • Lexical choice.
  • Psychological modelling of discourse production.
  • Pragmatic influences on lexical choice, syntax and content selection.
  • Multilingual or multi-modal generation.
  • Applications of generation technology (report generation, explanation for knowledge-based systems, automatic translation...).
  • Learning methods.
  • Evaluation of generation results.

Relevant aspects of the following areas relate to problems of natural language generation:

  • Grammar theory
  • Statistical methods
  • Speech synthesis
  • Psycholinguistics
  • Neuroscience
  • Philosophy

Upcoming Events

Board

The SIGGEN board is made up of the following people:

elected in December 2014 for the period from 1st January 2015 to 31st December 2018
elected in December 2014 for the period from 1st January 2015 to 31st December 2018
elected in December 2012 for the period from 1st January 2013 to 31st December 2016
elected in December 2012 for the period from 1st January 2013 to 31st December 2016
  • Xiao Li (mail) University of Aberdeen (student member, webmaster)
elected in December 2014 for the period from 1st January 2015 to 31st December 2016


To contact the entire board, please use the email alias: siggen-board(at)aclweb(dot)org.

For questions regarding this website, please email: siggen-webmaster(at)aclweb(dot)org.

Workshop Proceedings

Archive

Constitution

Who's Who in NLG

What's Where in NLG

Resources

Natural Language Generation Portal