Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages
- doi
- 10.1145/3465336.3475118
- name
- Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages
- pages
- 8
- format
- page-faithful facsimile
- acm_url
- https://dl.acm.org/doi/10.1145/3465336.3475118
- authors
- 1.Srijan Bansal2.Vishal Garimella3.Ayush Suhane4.Animesh Mukherjee
- doi_url
- https://doi.org/10.1145/3465336.3475118
- license
- restricted
- summary
- (empty)
- keywords
- Debiasing multilingual embeddings; Gender debias; Debiasing Indian languages
- published
- 2021
- source_pdf
- HT-2021_35-30_3465336/3465336.3475118.pdf
- import_kind
- full_text
- open_access
- false
- ccs_concepts
- Computing methodologies → Machine translation
- displayAuthor
- Srijan Bansal, IIT Kharagpur, Vishal Garimella, Ayush Suhane, Animesh Mukherjee
- source_sha256
- d52de4e479f98b325a2733e67a5ec949ad43f954abd50e3d5a1dd69cd4907938
- container_title
- Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT ’21)
- source_attribution
- Faithful page-image reproduction from the supplied ACM version of record under supplied ACM publication authorization.
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