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Evaluating Slovene Word Embeddings For Gender Bias On Analogies Of Occupations.pdf

JT-DH_2020_Supej-et-al_Primerjava-slovenskih-besednih-vektorskih-vlozitev-z-vidika-spola-na-analogijah-poklicev.pdf
Preview of Evaluating Slovene Word Embeddings for Gender Bias on Analogies of Occupations
🔗 Source: nl.ijs.si
📊 Size: 784 KB
📄 Pages: 8 pages
⬇️ Downloads: 29

Summary

An Analysis of Vocational Analogies" by Anka Supej, Matej Ulčar, Marko Robnik-Šikonja, and Senja Pollak focuses on evaluating the gender bias of word embeddings in the Slovene language. The authors compiled a list of male and female equivalents of occupations and used analogies calculations to assess the gender bias of fastText, word2vec, and ELMo embeddings with different configurations and approaches to computing analogies. The study aims to contribute to the under-researched area of evaluating Slovene word embeddings from a gender perspective, targeting primarily developers of language-technological tools that use these embeddings.

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Description

Study evaluates gender bias in Slovenian word embeddings using occupation analogies. Uses male and female job pair lists (CLARIN repository) for assessment.

Technical Information

  • File Format: PDF
  • File Size: 784 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 29
  • Last Updated: 1 month ago

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