FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285222324> ?p ?o ?g. }

• W4285222324 endingPage "132" @default.
• W4285222324 startingPage "113" @default.
• W4285222324 abstract "Natural language processing (NLP) is increasingly applied to a broad range of sensitive tasks, such as human resources, biomedicine, and healthcare. Accordingly, a growing body of research is investigating the impact of sex and gender bias in the models and the data on which such models are trained. As NLP systems become more pervasive in our societies, the vulnerability to sex and gender bias may cause the perpetuation of prejudice and discriminatory decisions. To address this challenge, a widespread awareness of bias needs to be created in the NLP community and more robust learning algorithms and fair solutions are required for the development and evaluation of NLP methods. In this chapter, we survey the state-of-the-art NLP models and some popular applications to biomedicine and health, with special emphasis on chatbots for mental health. Moreover, we discuss sources and implications of bias in this area and show examples of notable debiasing methods." @default.
• W4285222324 created "2022-07-14" @default.
• W4285222324 creator A5007020626 @default.
• W4285222324 creator A5044037386 @default.
• W4285222324 creator A5046596536 @default.
• W4285222324 creator A5059288410 @default.
• W4285222324 creator A5074210163 @default.
• W4285222324 creator A5083184681 @default.
• W4285222324 date "2022-01-01" @default.
• W4285222324 modified "2023-10-18" @default.
• W4285222324 title "Sex and gender bias in natural language processing" @default.
• W4285222324 cites W1504212872 @default.
• W4285222324 cites W1615991656 @default.
• W4285222324 cites W179875071 @default.
• W4285222324 cites W1808652302 @default.
• W4285222324 cites W2026990973 @default.
• W4285222324 cites W2114687821 @default.
• W4285222324 cites W2118232585 @default.
• W4285222324 cites W2122402213 @default.
• W4285222324 cites W2126276057 @default.
• W4285222324 cites W2135414875 @default.
• W4285222324 cites W2146089916 @default.
• W4285222324 cites W2149369282 @default.
• W4285222324 cites W2162471372 @default.
• W4285222324 cites W2574657597 @default.
• W4285222324 cites W2623779865 @default.
• W4285222324 cites W2768488789 @default.
• W4285222324 cites W2769358515 @default.
• W4285222324 cites W2783199713 @default.
• W4285222324 cites W2792485237 @default.
• W4285222324 cites W2882319491 @default.
• W4285222324 cites W2884001105 @default.
• W4285222324 cites W2886788613 @default.
• W4285222324 cites W2891525068 @default.
• W4285222324 cites W2893425640 @default.
• W4285222324 cites W2911227954 @default.
• W4285222324 cites W2914171828 @default.
• W4285222324 cites W2935098703 @default.
• W4285222324 cites W2945393245 @default.
• W4285222324 cites W2972557204 @default.
• W4285222324 cites W2979463066 @default.
• W4285222324 cites W3017637887 @default.
• W4285222324 cites W3029881688 @default.
• W4285222324 cites W3104723404 @default.
• W4285222324 cites W3110909889 @default.
• W4285222324 cites W4231165370 @default.
• W4285222324 doi "https://doi.org/10.1016/b978-0-12-821392-6.00009-1" @default.
• W4285222324 hasPublicationYear "2022" @default.
• W4285222324 type Work @default.
• W4285222324 citedByCount "1" @default.
• W4285222324 countsByYear W42852223242023 @default.
• W4285222324 crossrefType "book-chapter" @default.
• W4285222324 hasAuthorship W4285222324A5007020626 @default.
• W4285222324 hasAuthorship W4285222324A5044037386 @default.
• W4285222324 hasAuthorship W4285222324A5046596536 @default.
• W4285222324 hasAuthorship W4285222324A5059288410 @default.
• W4285222324 hasAuthorship W4285222324A5074210163 @default.
• W4285222324 hasAuthorship W4285222324A5083184681 @default.
• W4285222324 hasConcept C107062074 @default.
• W4285222324 hasConcept C119857082 @default.
• W4285222324 hasConcept C154945302 @default.
• W4285222324 hasConcept C15744967 @default.
• W4285222324 hasConcept C180747234 @default.
• W4285222324 hasConcept C204321447 @default.
• W4285222324 hasConcept C2522767166 @default.
• W4285222324 hasConcept C2779458634 @default.
• W4285222324 hasConcept C2983427547 @default.
• W4285222324 hasConcept C38652104 @default.
• W4285222324 hasConcept C41008148 @default.
• W4285222324 hasConcept C54355233 @default.
• W4285222324 hasConcept C66782513 @default.
• W4285222324 hasConcept C77805123 @default.
• W4285222324 hasConcept C86803240 @default.
• W4285222324 hasConcept C95713431 @default.
• W4285222324 hasConceptScore W4285222324C107062074 @default.
• W4285222324 hasConceptScore W4285222324C119857082 @default.
• W4285222324 hasConceptScore W4285222324C154945302 @default.
• W4285222324 hasConceptScore W4285222324C15744967 @default.
• W4285222324 hasConceptScore W4285222324C180747234 @default.
• W4285222324 hasConceptScore W4285222324C204321447 @default.
• W4285222324 hasConceptScore W4285222324C2522767166 @default.
• W4285222324 hasConceptScore W4285222324C2779458634 @default.
• W4285222324 hasConceptScore W4285222324C2983427547 @default.
• W4285222324 hasConceptScore W4285222324C38652104 @default.
• W4285222324 hasConceptScore W4285222324C41008148 @default.
• W4285222324 hasConceptScore W4285222324C54355233 @default.
• W4285222324 hasConceptScore W4285222324C66782513 @default.
• W4285222324 hasConceptScore W4285222324C77805123 @default.
• W4285222324 hasConceptScore W4285222324C86803240 @default.
• W4285222324 hasConceptScore W4285222324C95713431 @default.
• W4285222324 hasLocation W42852223241 @default.
• W4285222324 hasOpenAccess W4285222324 @default.
• W4285222324 hasPrimaryLocation W42852223241 @default.
• W4285222324 hasRelatedWork W2921633540 @default.
• W4285222324 hasRelatedWork W2951864292 @default.
• W4285222324 hasRelatedWork W2966634430 @default.
• W4285222324 hasRelatedWork W2972663293 @default.
• W4285222324 hasRelatedWork W3037697022 @default.

• next