Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tanvi Dadu"'
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5440 (2024)
Cross-lingual transfer learning using multilingual models has shown promise for improving performance on natural language processing tasks with limited training data. However, translation can introduce superficial patterns that negatively impact mode
Externí odkaz:
https://doaj.org/article/0d59bc40308c4bc8bb28b353457dedf0
Publikováno v:
Informatica. 46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::005a8d132259f6b5e2526a4327ec6a9e
https://doi.org/10.31449/inf.v46i1.3591
https://doi.org/10.31449/inf.v46i1.3591
Autor:
Kartikey Pant, Tanvi Dadu
Publikováno v:
Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c08395c4810cd8c8ac8a725553111fa
https://doi.org/10.18653/v1/2022.gebnlp-1.28
https://doi.org/10.18653/v1/2022.gebnlp-1.28
Text simplification is the process of splitting and rephrasing a sentence to a sequence of sentences making it easier to read and understand while preserving the content and approximating the original meaning. Text simplification has been exploited i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::044698c2a1b3fccc17030e116d5f0c2f
Autor:
Kartikey Pant, Tanvi Dadu
Publikováno v:
Fig-Lang@ACL
Sarcasm is an intricate form of speech, where meaning is conveyed implicitly. Being a convoluted form of expression, detecting sarcasm is an assiduous problem. The difficulty in recognition of sarcasm has many pitfalls, including misunderstandings in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6f056c5e9b28dd3d4549d09e2cfd514
https://doi.org/10.18653/v1/2020.figlang-1.6
https://doi.org/10.18653/v1/2020.figlang-1.6
Autor:
Kartikey Pant, Tanvi Dadu
Publikováno v:
SemEval@COLING
With the growing use of social media and its availability, many instances of the use of offensive language have been observed across multiple languages and domains. This phenomenon has given rise to the growing need to detect the offensive language u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a9f1601c2b079abf304e1026304c164
https://doi.org/10.18653/v1/2020.semeval-1.290
https://doi.org/10.18653/v1/2020.semeval-1.290