Call for papers

We invite paper submissions that include but are not limited to the following topics:

* Resource usage in NLP and AI

* Resource extension in order to reflect the lexical coverage within a particular domain;

* Resource augmentation by e.g. adding extra word senses, enriching the information associated with the existing entries. For instance, recently, several extensions of the WordNet lexical database have been initiated, in the United States and abroad, with the goal of providing the NLP community with additional knowledge that models pragmatic information not always present in the texts but required by document processing;

* Improvement of the consistency or quality of resources by e.g. homogenizing lexical descriptions, making implicit lexical knowledge explicit and clustering word senses;

* Merging resources, i.e. combining the information in more than one resource e.g. by producing a mapping between their senses. For instance, WordNet has been incorporated in several other linguistic and general knowledge bases (e.g. FrameNet and CYC);

* Corpus-based acquisition of knowledge;

* Mining common sense knowledge from resources;

* Multilingual WordNets and applications;