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Graph Neural Networks for Multiparallel Word Alignment ...
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CaMEL: Case Marker Extraction without Labels ...
Abstract: We introduce CaMEL (Case Marker Extraction without Labels), a novel and challenging task in computational morphology that is especially relevant for low-resource languages. We propose a first model for CaMEL that uses a massively multilingual corpus to extract case markers in 83 languages based only on a noun phrase chunker and an alignment system. To evaluate CaMEL, we automatically construct a silver standard from UniMorph. The case markers extracted by our model can be used to detect and visualise similarities and differences between the case systems of different languages as well as to annotate fine-grained deep cases in languages in which they are not overtly marked. ... : ACL 2022 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2203.10010
https://arxiv.org/abs/2203.10010
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3
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
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4
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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5
Geographic Adaptation of Pretrained Language Models ...
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6
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
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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13
Discrete and Soft Prompting for Multilingual Models ...
Zhao, Mengjie; Schütze, Hinrich. - : arXiv, 2021
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14
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
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15
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models ...
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16
Wine is Not v i n. -- On the Compatibility of Tokenizations Across Languages ...
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17
Graph Algorithms for Multiparallel Word Alignment ...
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18
Locating Language-Specific Information in Contextualized Embeddings ...
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19
Dynamic Contextualized Word Embeddings ...
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20
Measuring and Improving Consistency in Pretrained Language Models ...
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