NLP for Resource Building
Kapitel i bok, 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.

Författare

Richard Johansson

Göteborgs universitet

Chalmers, Data- och informationsteknik, Data Science

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

169-190
978 90 272 5848 9 (ISBN)

Ämneskategorier (SSIF 2025)

Språkbehandling och datorlingvistik

Jämförande språkvetenskap och allmän lingvistik

DOI

10.1075/nlp.14.07joh

Mer information

Senast uppdaterat

2025-07-03