CC-NLG 2018


Room 215, Cube, Tilburg university.


CC-NLG is a workshop on Computational Creativity through natural language generation, collocated  with INLG, the International Conference on Natural Language Generation. The workshop will bring together researchers from the communities of computational creativity in text generation, and natural language generation broadly. We will discuss the crossovers in CC and NLG, as well as looking to dialogue systems and their creative possibilities, for example in social networks.

Workshop Venue

Tilburg University, teaching building CUBE (exact room to follow)

Online Proceedings

PDFs of the accepted papers will be available here one week before the workshop.

Proceedings will be indexed in the ACL Anthology a few weeks after the workshop.

09:00–11:00 Session 1
09:00–09:10 Short introduction PDF
09:10–10:00 Content determination strategies for narrative: real-life reporting vs. fiction (Invited Talk)

Pablo Gervás

10:00–10:15 Seeking the Ideal Narrative Model for Computer-Generated Narratives PDF

Mariana Ferreira and Hugo Gonçalo Oliveira.

10:15–10:30 Discourse Embellishment Using a Deep Encoder-Decoder Network PDF

Leonid Berov and Kai Standvoss.

10:30–10:50 Exploring Lexical-Semantic Knowledge in the Generation of Novel Riddles in Portuguese PDF

Hugo Gonçalo Oliveira and Ricardo Rodrigues.

11:30–12:30 Session 2
11:30–11:50 Content Determination for Chess as a Source for Suspenseful Narratives PDF

Richard Doust and Pablo Gervás.

11:50–12:05 Generating Stories Using Role-playing Games and Simulated Human-like Conversations PDF

Alan Tapscott, Carlos León and Pablo Gervás.

12:05–12:30  A further discussion around topics raised by the papers.
Relevant Fields of ResearchResearch contributions are solicited on work that takes creativity into a general context, showing how the facets of creative language also enrich useful language. The workshop will still focus on core issues in computational creativity, like narrative, poetics, and humour, yet look to its communicative side. This will be of interest to researchers from computational creativity itself, as well as those looking to apply creative methods within other text generation systems.

Topics of interest include, but are not limited to:

  • Poetry Generation
  • Story Generation
  • Generation of Metaphor, Figurative and Rhetorical Language
  • Generation of Verbal Humor
  • Personality and Emotion in NLG
  • Creative Data-to-Text Models
  • Interactive Language Generation
  • Character-based Generation
  • Style Generation
  • Digital Literature

Important Dates

  • Submissions due: September 7, 2018
  • Notification of acceptance: October 7, 2018
  • Camera-ready papers due: October 17, 2018
  • Workshop: November 5, 2018
  • INLG Conference: November 5-8, 2018


They should follow the INLG submission format and length limits. We are happy to accept both long papers, which will be given more time to present, and short papers . Check instructions at the INLG Call for Papers page. Dual submission with INLG 2018 is permitted, provided that authors notify us on submission, and withdraw from one venue after acceptance on the other.

  • Long papers are most appropriate for presenting substantial research results and must not exceed 8 pages of content, with up to two additional pages for references.
  • Short papers are more appropriate for presenting an ongoing research effort and must not exceed 4 pages of content, with up to one extra page for references.

Papers should be submitted electronically through the CC-NLG EasyChair submissions page.


As in previous editions, the organisers of CC-NLG will apply to have the accepted papers included as INLG Workshop Proceedings on the ACL Anthology.


The workshop will feature a keynote talk by Pablo Gervás:

Content determination strategies for narrative: real-life reporting vs. fiction”

The crucial role of narrative in human communication has two different modes. Narrative is often used to report events extracted from our experience of real life that we want other people to know about. At other times, narrative is used to convey entirely fictional set of events that have been put together for the purpose of entertaining or exercising our sensibility. Although the surface forms of the discourses created in each of these modes are fundamentally similar, the content determination strategies employed during composition present significant differences. Whereas in one case the process is mainly one of selection, in the other there is likely to be a large percentage of invention. Yet both the selection and the invention are likely to be guided or informed by considerations of narrative structure and successful narrative outcomes. The talk will describe recent work on computational modelling of these two narrative modes and present insights arising from their joint consideration into a single framework capable of switching from one to the other (and considering hybrid modes of operation) much as humans are seen to do.