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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. - : Zenodo, 2016 BASE Show 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 - : Unpublished, 2016 BASE Show details 10 Combining Language and Vision with a Multimodal Skip-gram Model ...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 Abstract: We extend the SKIP-GRAM model of Mikolov et al. (2013a) by taking visual information into account. Like SKIP-GRAM, our multimodal models (MMSKIP-GRAM) build vector-based word representations by learning to predict linguistic contexts in text corpora. However, for a restricted set of words, the models are also exposed to visual representations of the objects they denote (extracted from natural images), and must predict linguistic and visual features jointly. The MMSKIP-GRAM models achieve good performance on a variety of semantic benchmarks. Moreover, since they propagate visual information to all words, we use them to improve image labeling and retrieval in the zero-shot setup, where the test concepts are never seen during model training. Finally, the MMSKIP-GRAM models discover intriguing visual properties of abstract words, paving the way to realistic implementations of embodied theories of meaning. ... : accepted at NAACL 2015, camera ready version, 11 pages ... Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.1501.02598 https://arxiv.org/abs/1501.02598 BASE Hide 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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