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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 25 1 Experience Grounds Language ... Bisk, Yonatan; Holtzman, Ari; Thomason, Jesse. - : arXiv, 2020 BASE Show details 2 Shaping representations through communication: community size effect in artificial learning systems ... Tieleman, Olivier; Lazaridou, Angeliki; Mourad, Shibl. - : arXiv, 2019 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 Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input ... Lazaridou, Angeliki; Hermann, Karl Moritz; Tuyls, Karl. - : arXiv, 2018 BASE Show details 5 The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations ... Nangia, Nikita; Williams, Adina; Lazaridou, Angeliki. - : arXiv, 2017 BASE Show details 6 The LAMBADA dataset ... Paperno, Denis; Kruszewski, Germán; Lazaridou, Angeliki. - : Zenodo, 2016 BASE Show details 7 The LAMBADA dataset ... Paperno, Denis; Kruszewski, Germán; Lazaridou, Angeliki; Pham, Quan Ngoc; Bernardi, Raffaella; Pezzelle, Sandro; Baroni, Marco; Boleda, Gemma; Fernández, Raquel. - : Zenodo, 2016 Abstract: We introduce LAMBADA, a dataset to evaluate the capabilities of computational models for text understanding by means of a word prediction task. LAMBADA is a collection of narrative passages sharing the characteristic that human subjects are able to guess their last word if they are exposed to the whole passage, but not if they only see the last sentence preceding the target word. To succeed on LAMBADA, computational models cannot simply rely on local context, but must be able to keep track of information in the broader discourse. We show that LAMBADA exemplifies a wide range of linguistic phenomena, and that none of several state-of-the-art language models reaches accuracy above 1% on this novel benchmark. We thus propose LAMBADA as a challenging test set, meant to encourage the development of new models capable of genuine understanding of broad context in natural language text. The LAMBADA paper can be found here. ... URL: https://zenodo.org/record/2630551 https://dx.doi.org/10.5281/zenodo.2630551 BASE Hide details 8 The LAMBADA dataset: Word prediction requiring a broad discourse context ... Paperno, Denis; Kruszewski, Germán; Lazaridou, Angeliki. - : arXiv, 2016 BASE Show details 9 Lexical families in Vision ... Pezzelle, Sandro; Bernardi, Raffaella; Lazaridou, Angeliki. - : Unpublished, 2016 BASE Show details 10 Combining Language and Vision with a Multimodal Skip-gram Model ... Lazaridou, Angeliki; Pham, Nghia The; Baroni, Marco. - : arXiv, 2015 BASE Show details 11 Improving zero-shot learning by mitigating the hubness problem ... Dinu, Georgiana; Lazaridou, Angeliki; Baroni, Marco. - : Zenodo, 2015 BASE Show details 12 Improving zero-shot learning by mitigating the hubness problem ... Dinu, Georgiana; Lazaridou, Angeliki; Baroni, Marco. - : Zenodo, 2015 BASE Show details 13 From Visual Attributes to Adjectives through Decompositional Distributional Semantics ... Lazaridou, Angeliki; Dinu, Georgiana; Liska, Adam. - : arXiv, 2015 BASE Show details 14 C-PHRASE Vectors ... Pham, Nghia T.; Kruszewski, German; Lazaridou, Angeliki. - : Zenodo, 2015 BASE Show details 15 C-PHRASE Vectors ... Pham, Nghia T.; Kruszewski, German; Lazaridou, Angeliki. - : Zenodo, 2015 BASE Show details 16 Improving zero-shot learning by mitigating the hubness problem ... Dinu, Georgiana; Lazaridou, Angeliki; Baroni, Marco. - : arXiv, 2014 BASE Show details 17 Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model Pham, Nghia The; Kruszewski, German; Lazaridou, Angeliki. - : ACL (Association for Computational Linguistics) BASE Show details 18 “Look, some green circles!”: learning to quantify from images Boleda, Gemma; Sorodoc, Ionut-Teodor; Lazaridou, Angeliki. - : ACL (Association for Computational Linguistics) BASE Show details 19 "The red one!": on learning to refer to things based on discriminative properties Pham, Nghia The; Baroni, Marco; Lazaridou, Angeliki. - : ACL (Association for Computational Linguistics) BASE Show details 20 Multimodal semantic learning from child-directed input Baroni, Marco; Fernández, Raquel; Chrupała, Grzegorz. - : ACL (Association for Computational Linguistics) BASE Show details Page: 1 2

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