Expanding WordNet with Gloss and Polysemy Links for Evocation Strength Recognition

  Authors

Maziarz, Marek ; Rudnicka, Ewa

 Date issued

2020-12-01

 Type

languageDescription

 Language(s)

English

 Description

Evocation — a phenomenon of sense associations going beyond standard (lexico)-semantic relations — is difficult to recognise for natural language processing systems. Machine learning models give predictions which are only moderately correlated with the evocation strength. It is believed that ordinary graph measures are not as good at this task as methods based on vector representations. The paper proposes a new method of enriching the WordNet structure with weighted polysemy and gloss links, and proves that Dijkstra’s algorithm performs equally as well as other more sophisticated measures when set together with such expanded structures.

 Publisher

Instytut Slawistyki Polskiej Akademii Nauk

 Subject(s)

evocation WordNet polysemy evocation strength semantic relations

 Collection(s)

CLARIN-PL

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