Wordnets are increasingly widely used to model word meaning in natural language processing tasks. However, there are still many challenges in accurately describing word meanings and making these descriptions useful for both human and machine users. This workshop aims to identify, discuss and start to solve existing challenges.
Much research on wordnets focuses either on their construction or their use in some application. Few papers bridge the gap by discussing how different wordnet models and construction methods affect their effectiveness in use, or how different applications require different parts of language to be modeled.
For this reason, we are experimenting with a new workshop series challenges for wordnet, to give wordnet users and developers a chance to share experiences both good and bad. It will be co-located with the First Conference on Language, Data and Knowledge (LDK 2017) in Galway, Ireland. The workshop will start with some short presentations and then finish with an extended discussion based on the challenges presented. We welcome position statements on the following (or related) topics:
Please submit papers of between 4-10 pages, excluding references, formatted using the Springer Lecture Notes in Artificial Intelligence formatting guidelines. Submissions should be anonymous. Submissions will be reviewed by at least 3 reviewers and will be made available on online prior to the workshop.
Authors of good submisions will be invited to submit extended versions for a special issue of the Cognitive Studies | Études cognitives journal (https://ispan.waw.pl/journals/index.php/cs-ec/index). The extended versions will be carefully peer reviewed, but the scope of this special issue will be set in advance.
Papers should be submitted via EasyChair
The workshop is supported by the CLARIN-PL research infrastructure (http://clarin-pl.eu)
LDK 2017 conference received support from the Global WordNet Association Board
Address any questions to Maciej Piasecki and Francis Bond at <email@example.com>.