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Graph Neural Networks for Multiparallel Word Alignment ...
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CaMEL: Case Marker Extraction without Labels ...
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Geographic Adaptation of Pretrained Language Models ...
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Graph Algorithms for Multiparallel Word Alignment
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (2021)
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Static Embeddings as Efficient Knowledge Bases? ...
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Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models ...
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7
Discrete and Soft Prompting for Multilingual Models ...
Zhao, Mengjie; Schütze, Hinrich. - : arXiv, 2021
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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
Abstract: With more than 7000 languages worldwide, multilingual natural language processing (NLP) is essential both from an academic and commercial perspective. Researching typological properties of languages is fundamental for progress in multilingual NLP. Examples include assessing language similarity for effective transfer learning, injecting inductive biases into machine learning models or creating resources such as dictionaries and inflection tables. We provide ParCourE, an online tool that allows to browse a word-aligned parallel corpus, covering 1334 languages. We give evidence that this is useful for typological research. ParCourE can be set up for any parallel corpus and can thus be used for typological research on other corpora as well as for exploring their quality and properties. ... : The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2107.06632
https://dx.doi.org/10.48550/arxiv.2107.06632
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9
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models ...
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Wine is Not v i n. -- On the Compatibility of Tokenizations Across Languages ...
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11
Graph Algorithms for Multiparallel Word Alignment ...
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12
Locating Language-Specific Information in Contextualized Embeddings ...
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Measuring and Improving Consistency in Pretrained Language Models ...
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14
Static Embeddings as Efficient Knowledge Bases? ...
NAACL 2021 2021; Dufter, Philipp; Kassner, Nora. - : Underline Science Inc., 2021
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BUSINESS MEETING ...
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Discrete and Soft Prompting for Multilingual Models ...
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17
Continuous Entailment Patterns for Lexical Inference in Context ...
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Language Models for Lexical Inference in Context ...
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Continuous Entailment Patterns for Lexical Inference in Context ...
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SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings
In: EMNLP 2020 ; https://hal.archives-ouvertes.fr/hal-03013194 ; EMNLP 2020, Association for Computational Linguistics, Nov 2020, Online, United States. pp.1627 - 1643 (2020)
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