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Found 4 papers, 4 papers with code
Eliciting Explicit Knowledge From Domain Experts in Direct Intrinsic Evaluation of Word Embeddings for Specialized Domains
We evaluate the use of direct intrinsic word embedding evaluation tasks for specialized language.
At the Intersection of NLP and Sustainable Development: Exploring the Impact of Demographic-Aware Text Representations in Modeling Value on a Corpus of Interviews
The interviews were later sentence-annotated for Automated User-Perceived Value (UPV) Classification (Conforti et al., 2020), a schema that classifies values expressed by speakers, resulting in a dataset of 5, 333 sentences.
Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns
We further show that CDA remains effective in low-resource settings, in which a limited set of debiasing documents is used.
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead
We introduce new large labeled datasets on bias in 3 languages and show in experiments that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets on the English GLUE/SuperGLUE leaderboards.
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