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Hits 1 – 20 of 360
1
Graph Neural Networks for Multiparallel Word Alignment ...
Imani, Ayyoob
;
Şenel, Lütfi Kerem
;
Sabet, Masoud Jalili
. - : arXiv, 2022
BASE
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2
CaMEL: Case Marker Extraction without Labels ...
Weissweiler, Leonie
;
Hofmann, Valentin
;
Sabet, Masoud Jalili
. - : arXiv, 2022
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3
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
Maronikolakis, Antonis
;
Wisiorek, Axel
;
Nann, Leah
. - : arXiv, 2022
BASE
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4
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
Karn, Sanjeev Kumar
;
Liu, Ning
;
Schuetze, Hinrich
. - : arXiv, 2022
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5
Geographic Adaptation of Pretrained Language Models ...
Hofmann, Valentin
;
Glavaš, Goran
;
Ljubešić, Nikola
. - : arXiv, 2022
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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
Imani, Ayyoob
;
Sabet, Masoud,
;
Keremşenel, Lütfi
...
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? ...
Dufter, Philipp
;
Kassner, Nora
;
Schütze, Hinrich
. - : arXiv, 2021
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11
Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models ...
Senel, Lutfi Kerem
;
Schütze, Hinrich
. - : arXiv, 2021
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12
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Hinrich
;
Hofmann, Valentin
. - : Underline Science Inc., 2021
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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 ...
Imani, Ayyoob
;
Sabet, Masoud Jalili
;
Dufter, Philipp
. - : arXiv, 2021
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15
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models ...
Kassner, Nora
;
Dufter, Philipp
;
Schütze, Hinrich
. - : arXiv, 2021
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16
Wine is Not v i n. -- On the Compatibility of Tokenizations Across Languages ...
Maronikolakis, Antonis
;
Dufter, Philipp
;
Schütze, Hinrich
. - : arXiv, 2021
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17
Graph Algorithms for Multiparallel Word Alignment ...
Imani, Ayyoob
;
Sabet, Masoud Jalili
;
Şenel, Lütfi Kerem
;
Dufter, Philipp
;
Yvon, François
;
Schütze, Hinrich
. - : arXiv, 2021
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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18
Locating Language-Specific Information in Contextualized Embeddings ...
Liang, Sheng
;
Dufter, Philipp
;
Schütze, Hinrich
. - : arXiv, 2021
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19
Dynamic Contextualized Word Embeddings ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Hinrich
;
Hofmann, Valentin
. - : Underline Science Inc., 2021
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20
Measuring and Improving Consistency in Pretrained Language Models ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Elazar, Yanai
;
Goldberg, Yoav
. - : Underline Science Inc., 2021
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