Difference between revisions of "SIGGEN"
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+ | == What is Natural Language Generation? == | ||
+ | Natural language ''generation'' (NLG) focuses on algorithms and models for producing texts in English or other natural languages. NLG systems generally produce summaries, explanations, descriptions etc of non-linguistic data from databases, knowledge bases, sensors, and so forth. Good sources to learn about NLG include | ||
+ | * [https://ehudreiter.com/2018/01/16/learn-about-nlg/ How do I Learn about NLG?] | ||
+ | * [https://www.jair.org/index.php/jair/article/view/11173 Survey of the State of the Art in Natural Language Generation] | ||
+ | * [https://en.wikipedia.org/wiki/Natural-language_generation Wikipedia article on NLG] | ||
+ | |||
+ | == NLG Research Topics == | ||
Active topics of interest include: | Active topics of interest include: | ||
Revision as of 07:03, 19 March 2019
ACL Special Interest Group on Natural Language Generation
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. |
What is Natural Language Generation?
Natural language generation (NLG) focuses on algorithms and models for producing texts in English or other natural languages. NLG systems generally produce summaries, explanations, descriptions etc of non-linguistic data from databases, knowledge bases, sensors, and so forth. Good sources to learn about NLG include
- How do I Learn about NLG?
- Survey of the State of the Art in Natural Language Generation
- Wikipedia article on NLG
NLG Research Topics
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
Tokyo, Japan, 29 October - 1 November 2019. Follow @INLG2019 on Twitter for up-to-date information and announcements.
Recent Events
Tilburg, Netherlands, 5-8 Novemeber 2018
Santiago de Compostela, Spain, 4-7 September 2017
Edinburgh, UK, 5-8 September 2016
Mailing List
Joining the mailing list:
- The SIGGEN mailing list is currently going through a transition.
- To sign up, view preferences, change preferences, or unsubscribe, go to:
- If there are any issues, e-mail: siggen-webmaster (ta) aclweb (dot) org.
Posting messages to the mailing list
- Please join the mailing list first (see above). Then you may use the email alias siggen-list (ta) aclweb (dot) org to post e-mails to the list.
Board
The SIGGEN board is made up of the following people:
- Ehud Reiter (mail) Professor/Chair in Computer Science at University of Aberdeen and also Chief Scientist of Arria NLG. (chair)
- elected in December 2018 for the period from 1st January 2019 to 31st December 2022
- elected in December 2016 for the period from 1st January 2017 to 31st December 2020
- Amanda Stent (mail), Bloomberg LP (treasurer)
- elected in December 2016 for the period from 1st January 2017 to 31st December 2020
- Jose M. Alonso ([1]) University of Santiago de Compostela, Spain (secretary)
- elected in December 2018 for the period from 1st January 2019 to 31st December 2022
- Amanda Curry (mail) School of Mathematical and Computer Sciences, Heriot-Watt University (student member)
- elected in December 2018 for the period from 1st January 2019 to 31st December 2020
To contact the entire board, please use the email alias: siggen-board (ta) aclweb (dot) org.