Difference between revisions of "SIGGEN"

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== Board ==
 
== Board ==
The SIGGEN board is made up of the following people:
 
  
*[https://ehudreiter.com/ Ehud Reiter] ([mailto:e.reiter@abdn.ac.uk mail]) [https://www.abdn.ac.uk/ncs/profiles/e.reiter/ Professor/Chair in Computer Science at University of Aberdeen] and also Chief Scientist of [https://www.arria.com Arria NLG] ([mailto:siggen-chair(ta)aclweb(dot)org chair])
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You can see the current SIGGEN board members at [https://siggen-acl.github.io/pages/information.html SIGGEN-BOARD].
:elected in December 2018 for the period from 1st January 2019 to 31st December 2022
 
*[https://citius.gal/team/jose-maria-alonso-moral Jose M. Alonso] ([mailto:josemaria.alonso.moral@usc.es mail]) [https://citius.usc.es/ CiTIUS, University of Santiago de Compostela], Spain
 
:elected in December 2018 for the period from 1st January 2019 to 31st December 2022
 
*[https://www.emielvanmiltenburg.nl/ Emiel van Miltenburg] ([mailto:c.w.j.vanmiltenburg@tilburguniversity.edu mail]) [https://www.tilburguniversity.edu/research/institutes-and-research-groups/ticc Tilburg center for Cognition and Communication, Tilburg University], The Netherlands (treasurer)
 
:elected in December 2020 for the period from 1st January 2021 to 31st December 2024
 
*[http://nil.fdi.ucm.es/?q=members/raquelhervas Raquel Hervás] ([mailto:raquelhb@fdi.ucm.es mail]) [https://www.ucm.es/ Universidad Complutense de Madrid], Spain (secretary)
 
:elected in December 2020 for the period from 1st January 2021 to 31st December 2024
 
*[https://www.edinburgh-robotics.org/students/miruna-adriana-clinciu Miruna-Adriana Clinciu] ([mailto:mc191@hw.ac.uk mail]) [https://www.edinburgh-robotics.org/ Edinburgh Centre of Robotics], Scotland, UK (student member)
 
:elected in December 2020 for the period from 1st January 2021 to 31st December 2022
 
 
 
 
 
To contact the entire board, please use the email alias: <u>'''siggen-board (at) aclweb (dot) org'''</u>.
 
  
 
== [https://www.aclweb.org/anthology/sigs/siggen/  Workshop Proceedings ] ==
 
== [https://www.aclweb.org/anthology/sigs/siggen/  Workshop Proceedings ] ==

Revision as of 05:16, 18 July 2022


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.

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

NLG Data Sets and Other Resources

Natural Language Generation Resources

Upcoming Events

INLG 2022 is hosted by Colby College, Maine, USA on 18-22 July. It is an hybrid conference running from 18 to 22 July 2022.

SIGGEN is starting a monthly webinar series. We're looking for talks on anything of interest to SIGGEN/NLG community, including research, tutorials, and commercial projects. If you have an idea for a webinar, please email siggen-board@googlegroups.com

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:
http://www.jiscmail.ac.uk/SIGGEN
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.

Recent Events

You can see all previous events at Previous related events

Board

You can see the current SIGGEN board members at SIGGEN-BOARD.

Workshop Proceedings

Archive

Constitution