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Hits 1 – 6 of 6
1
Universal Dependencies 2.9
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2021
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2
Universal Dependencies 2.8.1
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.7
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2020
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5
Universal Dependencies 2.6
Zeman, Daniel
;
Nivre, Joakim
;
Abrams, Mitchell
. - : Universal Dependencies Consortium, 2020
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6
Parsing in the absence of related languages: Evaluating low-resource dependency parsers on Tagalog ...
The 28th International Conference on Computational Linguistics 2020
;
Aquino, Angelina
;
de Leon, Franz
. - : Underline Science Inc., 2020
Abstract:
Cross-lingual and multilingual methods have been widely suggested as options for dependency parsing of low-resource languages; however, these typically require the use of annotated data in related high-resource languages. In this paper, we evaluate the performance of these methods versus monolingual parsing of Tagalog, an Austronesian language which shares little typological similarity with any existing high-resource languages. We show that a monolingual model developed on minimal target language data consistently outperforms all cross-lingual and multilingual models when no closely-related sources exist for a low-resource language. ...
Keyword:
Computer and Information Science
;
Natural Language Processing
;
Neural Network
URL:
https://underline.io/lecture/6546-parsing-in-the-absence-of-related-languages-evaluating-low-resource-dependency-parsers-on-tagalog
https://dx.doi.org/10.48448/0jhv-jk62
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