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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 – 11 of 11 1 Visually grounded and textual semantic models differentially decode brain activity associated with concrete and abstract nouns POESIO, M; ANDERSON, A; Clark, S. - : Association for Computational Linguistics, 2018 BASE Show details 2 Supervised learning of universal sentence representations from natural language inference data Conneau, A.; Kiela, D.; Schwenk, H.. - : Association for Computational Linguistics, 2017 BASE Show details 3 HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ... Vulić, I; Gerz, D; Kiela, D. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 4 HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment Vulić, I; Gerz, D; Kiela, D. - : MIT Press, 2017. : Computational Linguistics, 2017 BASE Show details 5 Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection Rei, Marek; Bulat, LT; Kiela, D. - : Association for Computational Linguistics, 2017. : EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings, 2017 BASE Show details 6 Evaluation by association: A systematic study of quantitative word association evaluation Vulić, I; Kiela, D; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference, 2017 BASE Show details 7 Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics ... Kiela, D; Vero, Anita; Clark, Stephen. - : Apollo - University of Cambridge Repository, 2016 BASE Show details 8 Multi-Modal Representations for Improved Bilingual Lexicon Learning ... Vulić, I; Kiela, D; Clark, Stephen; Moens, MF. - : Apollo - University of Cambridge Repository, 2016 Abstract: Recent work has revealed the potential of using visual representations for bilingual lexicon learning (BLL). Such image-based BLL methods, however, still fall short of linguistic approaches. In this paper, we propose a simple yet effective multimodal approach that learns bilingual semantic representations that fuse linguistic and visual input. These new bilingual multi-modal embeddings display significant performance gains in the BLL task for three language pairs on two benchmarking test sets, outperforming linguistic-only BLL models using three different types of state-of-the-art bilingual word embeddings, as well as visual-only BLL models. ... : This work is supported by ERC Consolidator Grant LEXICAL (648909) and KU Leuven Grant PDMK/14/117. SC is supported by ERC Starting Grant DisCoTex (306920). ... URL: https://www.repository.cam.ac.uk/handle/1810/267177 https://dx.doi.org/10.17863/cam.9719 BASE Hide details 9 Multi-Modal Representations for Improved Bilingual Lexicon Learning Vulić, I; Kiela, D; Clark, Stephen. - : Association for Computational Linguistics, 2016. : http://acl2016.org/, 2016. : Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016 BASE Show details 10 Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics Kiela, D; Vero, Anita; Clark, Stephen. - : Association for Computational Linguistics, 2016. : Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016 BASE Show details 11 Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps Bulat, L; Kiela, D; Clark, Stephen. - : Association for Computational Linguistics, 2016. : http://www.aclweb.org/anthology/N/N16/, 2016. : Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 BASE Show details

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