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Building Frame Semantics Resources for Scandinavian and Baltic Languages

Editor

Summary, in English

Annotated data with role-semantic information are becoming an ever more important resource for

many semantic systems. They form the core element to develop large coverage, high-performance,

and reusable semantic parsers, classifiers as well as applications that include lexicography, term and information

extraction, semantic processing of the web, text-to-scene conversion systems, etc.

Existing examples of role annotated corpora/resources include for English: FrameNet, PropBank, and

VerbNet, for German: Salsa, and for Spanish: Spanish FrameNet. However, the two main initiatives

outside English take FrameNet as a semantic pivot and attempt to derive or adapt frames to the target

language using manual work or semiautomatic systems.

As frequently observed, the itemization of frames and lexical units and their manual annotation in a

corpus is an expensive task that requires a relatively long-term and dedicated commitment. Such an

effort is currently beyond the reach of most research teams in the Nordic/Baltic area, which could impair

the quality, and possibly the existence, of future semantic applications in these languages. This

makes the construction of a role-semantic annotated corpus and the design of automatic or semiautomatic

transfer methods a challenge as well as an opportunity.

These proceedings contain the seven papers of the FRAME 2007 workshop, which was held on May

24, 2007 in Tartu, Estonia. They provide perspectives from various areas on current research in frame

semantics and we hope they will foster new ideas to start the construction of role-annotated corpora

in the Nordic/Baltic region and possibly share it across families of related languages.

Publishing year

2007

Language

English

Publication/Series

LU-CS-TR: 2007-240

Document type

Conference publication

Publisher

Department of Computer Science, Lund University

Topic

  • Computer Science

Keywords

  • Frame semantics
  • natural language processing
  • Semantic analysis

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-91-976939-0-5