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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 Hits 1 – 20 of 37 1 A Latent-Variable Model for Intrinsic Probing ... Stańczak, Karolina; Hennigen, Lucas Torroba; Williams, Adina. - : arXiv, 2022 BASE Show details 2 A Neighbourhood Framework for Resource-Lean Content Flagging ... Sarwar, Sheikh Muhammad; Zlatkova, Dimitrina; Hardalov, Momchil. - : arXiv, 2021 BASE Show details 3 A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives ... Rethmeier, Nils; Augenstein, Isabelle. - : arXiv, 2021 BASE Show details 4 QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension ... Rogers, Anna; Gardner, Matt; Augenstein, Isabelle. - : arXiv, 2021 Abstract: Alongside huge volumes of research on deep learning models in NLP in the recent years, there has been also much work on benchmark datasets needed to track modeling progress. Question answering and reading comprehension have been particularly prolific in this regard, with over 80 new datasets appearing in the past two years. This study is the largest survey of the field to date. We provide an overview of the various formats and domains of the current resources, highlighting the current lacunae for future work. We further discuss the current classifications of ``reasoning types" in question answering and propose a new taxonomy. We also discuss the implications of over-focusing on English, and survey the current monolingual resources for other languages and multilingual resources. The study is aimed at both practitioners looking for pointers to the wealth of existing data, and at researchers working on new resources. ... : Under review ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2107.12708 https://dx.doi.org/10.48550/arxiv.2107.12708 BASE Hide details 5 Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models ... Stańczak, Karolina; Choudhury, Sagnik Ray; Pimentel, Tiago. - : arXiv, 2021 BASE Show details 6 Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training ... Hardalov, Momchil; Arora, Arnav; Nakov, Preslav. - : arXiv, 2021 BASE Show details 7 Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? ... Choudhury, Sagnik Ray; Bhutani, Nikita; Augenstein, Isabelle. - : arXiv, 2021 BASE Show details 8 CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding ... 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; Augenstein, Isabelle; Wright, Dustin. - : Underline Science Inc., 2021 BASE Show details 9 How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Augenstein, Isabelle; Flöck, Fabian. - : Underline Science Inc., 2021 BASE Show details 10 Is Sparse Attention more Interpretable? ... 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; Augenstein, Isabelle; Cotterell, Ryan. - : Underline Science Inc., 2021 BASE Show details 11 Is Sparse Attention more Interpretable? ... Meister, Clara Isabel; Lazov, Stefan; Augenstein, Isabelle. - : ETH Zurich, 2021 BASE Show details 12 Quantifying Gender Biases Towards Politicians on Reddit ... Marjanovic, Sara; Stańczak, Karolina; Augenstein, Isabelle. - : arXiv, 2021 BASE Show details 13 A Survey on Gender Bias in Natural Language Processing ... Stanczak, Karolina; Augenstein, Isabelle. - : arXiv, 2021 BASE Show details 14 Semi-Supervised Exaggeration Detection of Health Science Press Releases ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Augenstein, Isabelle; Wright, Dustin. - : Underline Science Inc., 2021 BASE Show details 15 Inducing Language-Agnostic Multilingual Representations ... Zhao, Wei; Eger, Steffen; Bjerva, Johannes. - : arXiv, 2020 BASE Show details 16 Zero-Shot Cross-Lingual Transfer with Meta Learning ... Nooralahzadeh, Farhad; Bekoulis, Giannis; Bjerva, Johannes. - : arXiv, 2020 BASE Show details 17 SIGTYP 2020 Shared Task: Prediction of Typological Features ... Bjerva, Johannes; Salesky, Elizabeth; Mielke, Sabrina J.. - : arXiv, 2020 BASE Show details 18 Generating Fact Checking Explanations ... Atanasova, Pepa; Simonsen, Jakob Grue; Lioma, Christina. - : arXiv, 2020 BASE Show details 19 X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension ... Abdou, Mostafa; Sas, Cezar; Aralikatte, Rahul. - : arXiv, 2019 BASE Show details 20 TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP ... Rethmeier, Nils; Saxena, Vageesh Kumar; Augenstein, Isabelle. - : arXiv, 2019 BASE Show details Page: 1 2

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