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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 Hits 1 – 14 of 14 1 Finetuning Pretrained Transformers into RNNs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Weizhu; Ilharco, Gabriel. - : Underline Science Inc., 2021 BASE Show details 2 A Call for More Rigor in Unsupervised Cross-lingual Learning ... Artetxe, Mikel; Ruder, Sebastian; Yogatama, Dani. - : arXiv, 2020 BASE Show details 3 Learning and Evaluating General Linguistic Intelligence ... Yogatama, Dani; d'Autume, Cyprien de Masson; Connor, Jerome. - : arXiv, 2019 BASE Show details 4 On the Cross-lingual Transferability of Monolingual Representations ... Artetxe, Mikel; Ruder, Sebastian; Yogatama, Dani. - : arXiv, 2019 BASE Show details 5 Learning to Compose Words into Sentences with Reinforcement Learning ... Yogatama, Dani; Blunsom, Phil; Dyer, Chris. - : arXiv, 2016 BASE Show details 6 Sparse Overcomplete Word Vector Representations ... Faruqui, Manaal; Tsvetkov, Yulia; Yogatama, Dani. - : arXiv, 2015 BASE Show details 7 Learning Word Representations with Hierarchical Sparse Coding ... Yogatama, Dani; Manaal Faruqui; Dyer, Chris. - : Carnegie Mellon University, 2015 BASE Show details 8 Learning Word Representations with Hierarchical Sparse Coding ... Yogatama, Dani; Manaal Faruqui; Dyer, Chris. - : Carnegie Mellon University, 2015 BASE Show details 9 Linguistic Structured Sparsity in Text Categorization ... Yogatama, Dani; Smith, Noah A.. - : Carnegie Mellon University, 2014 BASE Show details 10 Linguistic Structured Sparsity in Text Categorization ... Yogatama, Dani; Smith, Noah A.. - : Carnegie Mellon University, 2014 BASE Show details 11 Learning Word Representations with Hierarchical Sparse Coding ... Yogatama, Dani; Faruqui, Manaal; Dyer, Chris. - : arXiv, 2014 BASE Show details 12 Predicting a Scientific Community’s Response to an Article ... Yogatama, Dani; Heliman, Michael; O'Connor, Brendan; Dyer, Chris; Routledge, Bryan R; Smith, Noah A.. - : Carnegie Mellon University, 2011 Abstract: We consider the problem of predicting measurable responses to scientific articles based primarily on their text content. Specifically, we consider papers in two fields (economics and computational linguistics) and make predictions about downloads and within-community citations. Our approach is based on generalized linear models, allowing interpretability; a novel extension that captures first-order temporal effects is also presented. We demonstrate that text features significantly improve accuracy of predictions over metadata features like authors, topical categories, and publication venues. ... Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences URL: https://kilthub.cmu.edu/articles/Predicting_a_Scientific_Community_s_Response_to_an_Article/6473615 https://dx.doi.org/10.1184/r1/6473615 BASE Hide details 13 Predicting a Scientific Community’s Response to an Article ... Yogatama, Dani; Heliman, Michael; O'Connor, Brendan. - : Carnegie Mellon University, 2011 BASE Show details 14 Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments Gimpel, Kevin; Schneider, Nathan; O'Connor, Brendan... In: DTIC (2010) BASE Show details

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