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1
Graph Neural Networks for Multiparallel Word Alignment ...
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CaMEL: Case Marker Extraction without Labels ...
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Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
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Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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Geographic Adaptation of Pretrained Language Models ...
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Distributed representations for multilingual language processing
Dufter, Philipp [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021
DNB Subject Category Language
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7
Domain adaptation in Natural Language Processing
Sedinkina, Marina [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021
DNB Subject Category Language
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8
Combining contextualized and non-contextualized embeddings for domain adaptation and beyond
Pörner, Nina Mareike [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021
DNB Subject Category Language
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9
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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10
Static Embeddings as Efficient Knowledge Bases? ...
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11
Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models ...
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12
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 ...
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14
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 ...
Abstract: With the advent of end-to-end deep learning approaches in machine translation, interest in word alignments initially decreased; however, they have again become a focus of research more recently. Alignments are useful for typological research, transferring formatting like markup to translated texts, and can be used in the decoding of machine translation systems. At the same time, massively multilingual processing is becoming an important NLP scenario, and pretrained language and machine translation models that are truly multilingual are proposed. However, most alignment algorithms rely on bitexts only and do not leverage the fact that many parallel corpora are multiparallel. In this work, we exploit the multiparallelity of corpora by representing an initial set of bilingual alignments as a graph and then predicting additional edges in the graph. We present two graph algorithms for edge prediction: one inspired by recommender systems and one based on network link prediction. Our experimental results show ... : EMNLP 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2109.06283
https://arxiv.org/abs/2109.06283
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17
Locating Language-Specific Information in Contextualized Embeddings ...
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18
Measuring and Improving Consistency in Pretrained Language Models ...
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19
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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