• Publications
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    • Mitigating Data Scarcity in Semantic Parsing across Languages with the Multilingual Semantic Layer and its Dataset
    • Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
    • MOSAICo: a Multilingual Open-text Semantically Annotated Interlinked Corpus
    • AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing
    • Cross-lingual AMR Aligner: Paying Attention to Cross-Attention
    • Incorporating Graph Information in Transformer-based AMR Parsing
    • RED$^textrmFM$: a Filtered and Multilingual Relation Extraction Dataset
    • REBEL: Relation Extraction By End-to-end Language generation
    • Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
    • The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse

Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People′s Gender and Origin

Aug 1, 2024·
Marco Stranisci
,
Pere-Lluı́s \TextbfHuguet Cabot
,
Elisa Bassignana
,
Roberto Navigli
· 0 min read
Cite
Type
Journal article
Publication
Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
Last updated on Aug 1, 2024
Mitigating Data Scarcity in Semantic Parsing across Languages with the Multilingual Semantic Layer and its Dataset Aug 1, 2024 →

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