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1
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks ...
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2
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Wikily Supervised Neural Translation Tailored to Cross-Lingual Tasks ...
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6
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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7
ParsiNLU: A Suite of Language Understanding Challenges for Persian ...
Abstract: Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English. This work focuses on Persian language, one of the widely spoken languages in the world, and yet there are few NLU datasets available for this rich language. The availability of high-quality evaluation datasets is a necessity for reliable assessment of the progress on different NLU tasks and domains. We introduce ParsiNLU, the first benchmark in Persian language that includes a range of high-level tasks -- Reading Comprehension, Textual Entailment, etc. These datasets are collected in a multitude of ways, often involving manual annotations by native speakers. This results in over 14.5$k$ new instances across 6 distinct NLU tasks. Besides, we present the first results on state-of-the-art monolingual and multi-lingual pre-trained language-models on this benchmark and compare them with human performance, which ... : To appear on Transactions of the Association for Computational Linguistics (TACL), 2021 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2012.06154
https://arxiv.org/abs/2012.06154
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8
The Persian Dependency Treebank Made Universal ...
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9
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies ...
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10
Cross-Lingual Transfer of Natural Language Processing Systems
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11
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles ...
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12
Cross-Lingual Syntactic Transfer with Limited Resources ...
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