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Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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Graph Algorithms for Multiparallel Word Alignment
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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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Measuring and Improving Consistency in Pretrained Language Models ...
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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
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Continuous Entailment Patterns for Lexical Inference in Context ...
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SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings
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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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Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction ...
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Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
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BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
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Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction
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Predicting the Growth of Morphological Families from Social and Linguistic Factors
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Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
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Relational and Fine-Grained Argument Mining
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In: Datenbank-Spektrum (2020)
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SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
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In: Findings of ACL: EMNLP 2020 (2020)
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Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations
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