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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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Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
Abstract: Building on current work on multilingual hate speech (e.g., Ousidhoum et al. (2019)) and hate speech reduction (e.g., Sap et al. (2020)), we present XTREMESPEECH, a new hate speech dataset containing 20,297 social media passages from Brazil, Germany, India and Kenya. The key novelty is that we directly involve the affected communities in collecting and annotating the data - as opposed to giving companies and governments control over defining and combatting hate speech. This inclusive approach results in datasets more representative of actually occurring online speech and is likely to facilitate the removal of the social media content that marginalized communities view as causing the most harm. Based on XTREMESPEECH, we establish novel tasks with accompanying baselines, provide evidence that cross-country training is generally not feasible due to cultural differences between countries and perform an interpretability analysis of BERT's predictions. ... : Accepted to ACL 2022 Findings ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2203.11764
https://arxiv.org/abs/2203.11764
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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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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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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 ...
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17
Locating Language-Specific Information in Contextualized Embeddings ...
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Measuring and Improving Consistency in Pretrained Language Models ...
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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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