WLSR 2013 - Workshop on Lexical Semantic Resources for NLP

High-quality lexical semantic resources with sufficiently large vocabularies still prove to be a serious bottleneck not only in purely rule-based NLP applications but also in supervised corpus-based approaches. The oldest widely-known lexical semantic resource, Princeton WordNet (PWN), has been around for over two decades. While PWN and the numerous wordnet projects for other languages that it has inspired adhere fairly closely to the traditional dictionary in their conception and organization, there are also lexical-semantic resources where a closer integration of lexical data information and corpus data is attempted. Such resources can be seen either as extremely richly exemplified lexicons or extremely deeply annotated corpora, depending on your outlook. Berkeley FrameNet, VerbNet, PropBank and several others can be mentioned in this connnection. A recent trend in the wake of the increased awareness of the importance of standardization and interoperability of language resources, is the development towards large-scale integration of lexical resources (variously referred to as “lexical cores”, “lexical macroresources”, “lexical resource networks”, and the like) both within and across languages, the ultimate expression of which is at the moment the linked open data in linguistics movement.
For largely extraneous reasons, English-language resources tend to receive most attention in the LT literature, but there is an increasing number of lexical semantic resources under development for many other languages, including Nordic, Baltic and other languages of the NEALT area.
In parallel to this development of new lexical semantic resources, much effort is put into exploring how such resources and formal ontologies can be made to work together in knowledge-based systems. The workshop ? a follow-up on the succesful Nodalida 2009 workshop where the focus was on wordnets ? intends to bring together researchers involved in building and integrating lexical semantic resources for NLP as well as researchers that are more theoretically interested in investigating the interplay between lexical semantics, lexicography, terminology and formal ontologies.
We invite papers presenting original research relating to lexical semantic resources for NLP on topics such as:
representation of lexical-semantic knowledge for computational use
the interplay between formal ontologies and lexical resources
corpus-based approaches to lexical semantic resources
terminology and lexical semantics: concept-based vs lexical semantic approaches
monolingual vs. multilingual approaches to lexical-semantic resources and ontologies
word-space models for building and expanding ontologies
domain-specific classification: taxonomy and ontology ? computational aspects
quality assessment of lexical-semantic resources: criteria, methods
computational use of lexical-semantic resources (information retrieval, semantic tagging of corpora, MT, etc.)
traditional lexicography and NLP lexicons: re-use and differences
cognitive aspects: computational lexical models as opposed to the ‘mental lexicon’