natural language generation

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Important dates
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Apr 23, 2018 (11:59 PM GMT -12:00.) : Workshop papers due
May 7, 2018 : Notification of acceptance
May 28, 2018 : Camera-ready papers due
Jul 19, 2018 : Workshop date

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Submissions
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We invite full papers (8 pages) and short papers (4 pages); long and short papers have unlimited references.

Call for papers
Special issue on Natural Language Generation (NLG) for Spoken Dialogue Systems (SDS)
Journal of Dialogue & Discourse

INLG 2018 -- Call for bids
Deadline for Proposals: 30 October 2017

SIGGEN (The Special Interest Group on Natural Language Generation of the Association for Computational Linguistics) invites proposals to organise and/or chair the International Natural Language Generation (INLG) Conference in 2018. This year, we are inviting proposals for two distinct roles: hosting and chairing. Proposals may cover either one of these, or both.

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SigDial 2017 Special Session:
Natural Language Generation for Dialogue Systems
First Call for Papers
Paper Submission: 18th April 2017
http://www.sigdial.org/workshops/conference18/
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* MOTIVATION

Shared task on end-to-end natural language generation from dialogue acts, using unaligned data.

The DSTC shared task has now been running since 2013. This year’s challenge has been renamed to Dialog System Technology Challenge, which reflects the wider scope we aim for.

The DSTC6 challenge will include 3-4 tracks, which should reflect the interests of the community. We would like to encourage you to submit a track proposal for dialog related technologies including but not limited to:

Start date flexible.

9th International Conference on Natural Language Generation (INLG 2016)

Location: Edinburgh, Scotland, UK.
Dates: 5-8 September 2016
Website: http://www.macs.hw.ac.uk/InteractionLab/INLG2016/

Submissions deadline: 16 May 2016

During the workshop+tutorial days at INLG 2016, we will host the first SIGGEN Hackathon, focusing on generation for controlled natural languages (CNLs; Kuhn 2014). Based on a particular natural language, a controlled natural language aims to preserve most of its natural properties while restricting the lexicon, syntax, and/or semantics. These restrictions make hacking together a surface realizer in 24 hours a tractable enough task that we'd like you to try it!

New trends of intelligent language processing systems are emerging, such as big data analysis, social network analysis, Internet of things, smart services, mobile computing, computer games, to name a few. Applications of these trends have been applied to various domains including education, travel and tourism, healthcare, among others.