International Conference on Natural Language Generation (INLG 2017)

Event Notification Type: 
Call for Papers
Abbreviated Title: 
INLG 2017
Monday, 4 September 2017 to Thursday, 7 September 2017
Contact Email: 
Santiago de Compostela
Submission Deadline: 
Monday, 1 May 2017

The 10th International Conference on Natural Language Generation (INLG2017) will be held in Santiago de Compostela, Spain, September 4-7, 2017. As you already know, INLG is the International Conference of the Special Interest Group on Natural Language Generation (SIGGEN) of the Association for Computational Linguistics (ACL).

INLG2017 is organized by the Intelligent Systems Unit of the Research Centre in Information Technologies (CiTIUS) of the University of Santiago de Compostela (USC), with the support of SIGGEN. The conference will be held in the facilities provided by CiTIUS and USC in Santiago de Compostela, a UNESCO World Heritage City which has been awarded over twenty national and international prizes in this regard.

Please, mark your calendars. Important dates are as follows:
+ Workshop Proposals: March 1, 2017
+ Long/Short Paper and Demo Submission: May 1, 2017 (midnight at GMT -12)
+ Notification: June 30, 2017
+ Camera-ready: July 15, 2017
+ Conference: September 4-7, 2017
Notice that the first day will be devoted to Workshops. The Main Conference will run on days 5-6. And the last day will be for Tutorials and Hackathon.

We kindly invite you to contribute to INLG2017. Topics of interest include (but are not limited to):
+ Affect / emotion generation
+ Applications for people with disabilities
+ Cognitive modeling of language generation
+ Content and text planning
+ Data-to-text generation
+ Evaluation of NLG systems
+ Grounded language generation
+ Lexicalization
+ Multimedia generation
+ Multimodality in generation
+ Storytelling and narrative generation
+ NLG and accessibility
+ NLG in dialogue
+ NLG for embodied agents and robots
+ NLG for real-world applications
+ NLG in linguistically motivated frameworks
+ Paraphrase generation
+ Personalization and personality of text
+ Psycholinguistics and NLG
+ Referring expression generation
+ Rule-based approaches to generation
+ Statistical approaches to generation
+ Comparisons between rule-based and statistical approaches to NLG
+ Surface realization
+ Text-to-text generation and summarization

Submission is made via:

You can find further info at:

Please, follow @inlg2017 on Twitter to keep updated!