Ontolex JeuxDeMots and Its Alignment to the Linguistic Linked Open Data Cloud
published: Nov. 28, 2017, recorded: October 2017, views: 901
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
JeuxDeMots (JdM) is a rich collaborative lexical network in French, built on a crowdsourcing principle as a game with a purpose, represented in an ad-hoc tabular format. In the interest of reuse and interoperability, we propose a conversion algorithm for JdM following the Ontolex model, along with a word sense alignment algorithm, called JdMBabelizer, that anchors JdM sense-refinements to synsets in the lemon edition of BabelNet and thus to the Linguistic Linked Open Data cloud. Our alignment algorithm exploits the richness of JdM in terms of weighted semantic-lexical relations—particularly the inhibition relation between senses—that are specific to JdM. We produce a reference alignment dataset for JdM and BabelNet that we use to evaluate the quality of our algorithm and that we make available to the community. The obtained results are comparable to those of state of the art approaches.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !