Goal

This workshop is about possible enhancements of lexical resources and electronic dictionaries. To perform the groundwork for the next generation of such resources we invite researchers involved in the building of such tools. The idea is to discuss modifications of existing resources by taking the users’ needs and knowledge states into account, and to capitalize on the advantages of the digital media. 

For this workshop we solicit papers including but not limited to the following topics, each of which can be considered from various points of view: linguistics (computational, corpus), neuro- or psycholinguistics (tip-of-the-tongue problem, associations), network related sciences (vector-based approaches, graph theory, small-world problem), ...

1. Organization, i.e. structure of the lexicon

• • Micro- and macrostructure of the lexicon;

  • Indexical categories (taxonomies, thesaurus-like topical structures, etc.);

  • Distribution of information (topology) and relations between words.

2     The meaning of words and how to reveal it

• Lexical representation (holistic, decomposed);

• Meaning representation (concept based, primitives);

• Distributional semantics (count models, neural embeddings, etc. )

3      Analysis of the conceptual input given by a dictionary user 

• What information do language producers typically provide when looking for a word (terms, relations)?

• What kind of relational information do they give: typed or untyped relations?

  • Which relations are typically used?

4     Methods for crafting dictionaries or indexes

• Manual, automatic or collaborative building of dictionaries and indexes (crowd-sourcing, serious games, etc.);

  • Extraction of associations from corpora to build semantic networks supporting navigation;

• (Semi-) automatic induction of the link type (e.g. synonym, hypernym, meronym, association, collocation, ...).

5     Dictionary access (navigation and search strategies), interface issues

• Search based on sound (rhymes), meaning or contextually related words (associations);

  • Determination of appropriate search space based on user’s knowledge:  meta-knowledge (knowledge concerning the relationship between the input and the target word) and cognitive state (information available at the onset)  ...

  • Identification of typical word access strategies (navigational patterns) used by people;

• Interface problems, data-visualization.