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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 64 1 Fairlex: A multilingual benchmark for evaluating fairness in legal text processing ... Chalkidis, Ilias; Passini, Tommaso; Zhang, Sheng. - : Zenodo, 2022 BASE Show details 2 Fairlex: A multilingual benchmark for evaluating fairness in legal text processing ... Chalkidis, Ilias; Passini, Tommaso; Zhang, Sheng. - : Zenodo, 2022 BASE Show details 3 UK-LEX Dataset - Part of Chalkidis and Søgaard (2022) ... Chalkidis, Ilias; Søgaard, Anders. - : Zenodo, 2022 BASE Show details 4 UK-LEX Dataset - Part of Chalkidis and Søgaard (2022) ... Chalkidis, Ilias; Søgaard, Anders. - : Zenodo, 2022 BASE Show details 5 FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing ... Chalkidis, Ilias; Pasini, Tommaso; Zhang, Sheng. - : arXiv, 2022 BASE Show details 6 Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks ... Cui, Ruixiang; Hershcovich, Daniel; Søgaard, Anders. - : arXiv, 2022 BASE Show details 7 Challenges and Strategies in Cross-Cultural NLP ... Hershcovich, Daniel; Frank, Stella; Lent, Heather. - : arXiv, 2022 BASE Show details 8 Factual Consistency of Multilingual Pretrained Language Models ... Fierro, Constanza; Søgaard, Anders. - : arXiv, 2022 Abstract: Pretrained language models can be queried for factual knowledge, with potential applications in knowledge base acquisition and tasks that require inference. However, for that, we need to know how reliable this knowledge is, and recent work has shown that monolingual English language models lack consistency when predicting factual knowledge, that is, they fill-in-the-blank differently for paraphrases describing the same fact. In this paper, we extend the analysis of consistency to a multilingual setting. We introduce a resource, mParaRel, and investigate (i) whether multilingual language models such as mBERT and XLM-R are more consistent than their monolingual counterparts; and (ii) if such models are equally consistent across languages. We find that mBERT is as inconsistent as English BERT in English paraphrases, but that both mBERT and XLM-R exhibit a high degree of inconsistency in English and even more so for all the other 45 languages. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2203.11552 https://dx.doi.org/10.48550/arxiv.2203.11552 BASE Hide details 9 Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning ... de Lhoneux, Miryam; Zhang, Sheng; Søgaard, Anders. - : arXiv, 2022 BASE Show details 10 How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns ... Brandl, Stephanie; Cui, Ruixiang; Søgaard, Anders. - : arXiv, 2022 BASE Show details 11 Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance ... Anderson, Mark; Søgaard, Anders; Rodríguez, Carlos Gómez. - : arXiv, 2021 BASE Show details 12 The Impact of Positional Encodings on Multilingual Compression ... Ravishankar, Vinit; Søgaard, Anders. - : arXiv, 2021 BASE Show details 13 Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ... 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; Aralikatte, Rahul; Maria Ponti, Edoardo. - : Underline Science Inc., 2021 BASE Show details 14 Evaluation of Summarization Systems across Gender, Age, and Race ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jørgensen, Anna; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 15 Locke's Holiday: Belief Bias in Machine Reading ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 16 Dynamic Forecasting of Conversation Derailment ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kementchedjhieva, Yova; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 17 Replicating and Extending ``Because Their Treebanks Leak'': Graph Isomorphism, Covariants, and Parser Performance ... 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; Anderson, Mark; Gómez-Rodríguez, Carlos. - : Underline Science Inc., 2021 BASE Show details 18 Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Abdou, Mostafa; Frank, Stella. - : Underline Science Inc., 2021 BASE Show details 19 Spurious Correlations in Cross-Topic Argument Mining ... 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; Barrett, Maria; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 20 Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ... 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; Aralikatte, Rahul; Maria Ponti, Edoardo. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4

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