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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 – 16 of 16 1 Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality ... Thrush, Tristan; Jiang, Ryan; Bartolo, Max. - : arXiv, 2022 BASE Show details 2 ANLIzing the Adversarial Natural Language Inference Dataset Williams, Adina; Thrush, Tristan; Kiela, Douwe In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 3 Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ... 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; Kiela, Douwe; Talat, Zeerak. - : Underline Science Inc., 2021 BASE Show details 4 I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ... 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; Bansal, Mohit; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 5 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bartolo, Max; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 6 Reservoir Transformers ... 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; Kiela, Douwe; Shen, Sheng. - : Underline Science Inc., 2021 BASE Show details 7 Gradient-based Adversarial Attacks against Text Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guo, Chuan; Jégou, Hervé. - : Underline Science Inc., 2021 BASE Show details 8 DynaSent: A Dynamic Benchmark for Sentiment Analysis ... 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; Geiger, Atticus; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 9 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ... 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; Kaushik, Divyansh; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 10 Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dieuwke; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 11 Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning Anderson, Andrew James; Kiela, Douwe; Binder, Jeffrey R.... In: J Neurosci (2021) BASE Show details 12 Inferring concept hierarchies from text corpora via hyperbolic embeddings ... Le, Matthew; Roller, Stephen; Papaxanthos, Laetitia. - : ETH Zurich, 2019 BASE Show details 13 Inferring concept hierarchies from text corpora via hyperbolic embeddings Roller, Stephen; Le, Matthew; Papaxanthos, Laetitia... In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (2019) BASE Show details 14 Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns ... Anderson, AJ; Kiela, Douwe; Clark, Stephen; Poesio, M. - : Apollo - University of Cambridge Repository, 2017 Abstract: Important advances have recently been made using computational semantic models to decode brain activity patterns associated with concepts; however, this work has almost exclusively focused on concrete nouns. How well these models extend to decoding abstract nouns is largely unknown. We address this question by applying state-of-the-art computational models to decode functional Magnetic Resonance Imaging (fMRI) activity patterns, elicited by participants reading and imagining a diverse set of both concrete and abstract nouns. One of the models we use is linguistic, exploiting the recent word2vec skipgram approach trained on Wikipedia. The second is visually grounded, using deep convolutional neural networks trained on Google Images. Dual coding theory considers concrete concepts to be encoded in the brain both linguistically and visually, and abstract concepts only linguistically. Splitting the fMRI data according to human concreteness ratings, we indeed observe that both models significantly decode the most ... : Stephen Clark is supported by ERC Starting Grant DisCoTex (306920). ... URL: https://www.repository.cam.ac.uk/handle/1810/263633 https://dx.doi.org/10.17863/cam.8991 BASE Hide details 15 Adaptive Communication: Languages with More Non-Native Speakers Tend to Have Fewer Word Forms. Bentz, Christian; Verkerk, Annemarie; Kiela, Douwe. - : Public Library of Science (PLoS), 2015. : PLoS One, 2015 BASE Show details 16 Adaptive Communication: Languages with More Non-Native Speakers Tend to Have Fewer Word Forms Bentz, Christian; Verkerk, Annemarie; Kiela, Douwe. - : Public Library of Science, 2015 BASE Show details

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