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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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2
Static Embeddings as Efficient Knowledge Bases? ...
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3
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
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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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Graph Algorithms for Multiparallel Word Alignment ...
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7
Locating Language-Specific Information in Contextualized Embeddings ...
Abstract: Multilingual pretrained language models (MPLMs) exhibit multilinguality and are well suited for transfer across languages. Most MPLMs are trained in an unsupervised fashion and the relationship between their objective and multilinguality is unclear. More specifically, the question whether MPLM representations are language-agnostic or they simply interleave well with learned task prediction heads arises. In this work, we locate language-specific information in MPLMs and identify its dimensionality and the layers where this information occurs. We show that language-specific information is scattered across many dimensions, which can be projected into a linear subspace. Our study contributes to a better understanding of MPLM representations, going beyond treating them as unanalyzable blobs of information. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2109.08040
https://dx.doi.org/10.48550/arxiv.2109.08040
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8
Static Embeddings as Efficient Knowledge Bases? ...
NAACL 2021 2021; Dufter, Philipp; Kassner, Nora. - : Underline Science Inc., 2021
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9
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
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10
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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11
Identifying Necessary Elements for BERT’s Multilinguality
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Identifying Elements Essential for BERT’s Multilinguality
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13
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
In: Findings of ACL: EMNLP 2020 (2020)
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14
Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations
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15
Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention
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16
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings ...
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17
Identifying Necessary Elements for BERT's Multilinguality ...
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18
Identifying Elements Essential for BERT’s Multilinguality ...
Dufter, Philipp; Schütze, Hinrich. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2020
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19
Identifying Necessary Elements for BERT’s Multilinguality ...
Dufter, Philipp; Schütze, Hinrich. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2020
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20
Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations ...
Liang, Sheng; Dufter, Philipp; Schütze, Hinrich. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2020
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