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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03965naa a2200469 4500 | |
| 001 | oai:DiVA.org:umu-194742 | |
| 003 | SwePub | |
| 008 | 220516s2022 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1947422 URI |
| 024 | 7 | a https://doi.org/10.1145/3531146.35346272 DOI |
| 040 | a (SwePub)umu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a kon2 swepub-publicationtype |
| 100 | 1 | a Devinney, Hannah,d 1995-u Umeå universitet,Institutionen för datavetenskap,Umeå centrum för genusstudier (UCGS),Foundations of Language Processing4 aut0 (Swepub:umu)hade0026 |
| 245 | 1 0 | a Theories of Gender in Natural Language Processing |
| 264 | c 2022-06-20 | |
| 264 | 1 | a New York, NY, USA :b ACM,c 2022 |
| 338 | a print2 rdacarrier | |
| 500 | a Alternative title: "Theories of 'Gender' in NLP Bias Research" | |
| 520 | a The rise of concern around Natural Language Processing (NLP) technologies containing and perpetuating social biases has led to a rich and rapidly growing area of research. Gender bias is one of the central biases being analyzed, but to date there is no comprehensive analysis of how “gender” is theorized in the field. We survey nearly 200 articles concerning gender bias in NLP to discover how the field conceptualizes gender both explicitly (e.g. through definitions of terms) and implicitly (e.g. through how gender is operationalized in practice). In order to get a better idea of emerging trajectories of thought, we split these articles into two sections by time.We find that the majority of the articles do not make their theo- rization of gender explicit, even if they clearly define “bias.” Almost none use a model of gender that is intersectional or inclusive of non- binary genders; and many conflate sex characteristics, social gender, and linguistic gender in ways that disregard the existence and expe- rience of trans, nonbinary, and intersex people. There is an increase between the two time-sections in statements acknowledging that gender is a complicated reality, however, very few articles manage to put this acknowledgment into practice. In addition to analyzing these findings, we provide specific recommendations to facilitate interdisciplinary work, and to incorporate theory and methodol- ogy from Gender Studies. Our hope is that this will produce more inclusive gender bias research in NLP. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Språkteknologi0 (SwePub)102082 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Language Technology0 (SwePub)102082 hsv//eng |
| 650 | 7 | a SAMHÄLLSVETENSKAPx Annan samhällsvetenskapx Genusstudier0 (SwePub)509022 hsv//swe |
| 650 | 7 | a SOCIAL SCIENCESx Other Social Sciencesx Gender Studies0 (SwePub)509022 hsv//eng |
| 653 | a natural language processing | |
| 653 | a gender bias | |
| 653 | a gender studies | |
| 653 | a datalogi | |
| 653 | a Computer Science | |
| 653 | a genusvetenskap | |
| 653 | a gender studies | |
| 700 | 1 | a Björklund, Jenny,d 1974-u Umeå universitet,Institutionen för datavetenskap,Uppsala University, Sweden4 aut0 (Swepub:umu)jebj0075 |
| 700 | 1 | a Björklund, Henriku Umeå universitet,Institutionen för datavetenskap,Foundations of Language Processing4 aut0 (Swepub:umu)hebj0006 |
| 710 | 2 | a Umeå universitetb Institutionen för datavetenskap4 org |
| 773 | 0 | t Proceedings of the fifth annual ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT'22)d New York, NY, USA : ACM |
| 856 | 4 | u https://arxiv.org/abs/2205.02526y arXiv (preprint) |
| 856 | 4 | u https://facctconference.org/2022/index.htmly ACM FAccT Conference 2022 |
| 856 | 4 | u https://facctconference.org/2022/acceptedpapers.htmly ACM FAccT 2022 Accepted papers |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-194742 |
| 856 | 4 8 | u https://doi.org/10.1145/3531146.3534627 |
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