NLP for Resource Building
Book chapter, 2021

We evaluate several lexicon-based and corpus-based methods to automatically induce new lexical units for Swedish FrameNet, and we see that the best-performing setup uses a combination of both types of methods. A particular challenge for Swedish is the absence of a lexical resource such as WordNet; however, we show that the semantic network Saldo, which is organized according to lexicographical principles quite different from those of WordNet, is very useful for our purposes.

Author

Richard Johansson

University of Gothenburg

Chalmers, Computer Science and Engineering (Chalmers), Data Science

The Swedish FrameNet++. Harmonization, integration, method development and practical language technology applications

169-190
978 90 272 5848 9 (ISBN)

Subject Categories (SSIF 2025)

Natural Language Processing

Comparative Language Studies and Linguistics

DOI

10.1075/nlp.14.07joh

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7/3/2025 6