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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 A survey of cross-lingual word embedding models ... Ruder, S; Vulić, I; Søgaard, A. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 2 Zero-shot language transfer for cross-lingual sentence retrieval using bidirectional attention model ... Glavaš, G; Vulić, I. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 3 Learning unsupervised multilingual word embeddings with incremental multilingual hubs ... Heyman, G; Verreet, B; Vulić, I. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 4 Specializing distributional vectors of allwords for lexical entailment ... Kamath, A; Pfeiffer, J; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 5 Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation ... Liu, Qianchu; McCarthy, D; Vulić, I. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 6 Specializing distributional vectors of allwords for lexical entailment Kamath, A; Pfeiffer, J; Ponti, Edoardo. - : ACL 2019 - 4th Workshop on Representation Learning for NLP, RepL4NLP 2019 - Proceedings of the Workshop, 2019 BASE Show details 7 Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation Liu, Qianchu; McCarthy, D; Vulić, I; Korhonen, Anna-Leena. - : CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference, 2019 Abstract: In this paper, we present a thorough investigation on methods that align pre-trained contextualized embeddings into shared cross-lingual context-aware embedding space, providing strong reference benchmarks for future context-aware crosslingual models. We propose a novel and challenging task, Bilingual Token-level Sense Retrieval (BTSR). It specifically evaluates the accurate alignment of words with the same meaning in cross-lingual non-parallel contexts, currently not evaluated by existing tasks such as Bilingual Contextual Word Similarity and Sentence Retrieval. We show how the proposed BTSR task highlights the merits of different alignment methods. In particular, we find that using context average type-level alignment is effective in transferring monolingual contextualized embeddings cross-lingually especially in non-parallel contexts, and at the same time improves the monolingual space. Furthermore, aligning independently trained models yields better performance than aligning multilingual embeddings with shared vocabulary. ; Peterhouse College Studentship; ERC Consolidator Grant LEXICAL URL: https://doi.org/10.17863/CAM.44042 https://www.repository.cam.ac.uk/handle/1810/297000 BASE Hide details 8 Learning unsupervised multilingual word embeddings with incremental multilingual hubs Heyman, G; Verreet, B; Vulić, I. - : NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2019 BASE Show details 9 Zero-shot language transfer for cross-lingual sentence retrieval using bidirectional attention model Glavaš, G; Vulić, I. - : Springer International Publishing, 2019. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019 BASE Show details 10 A survey of cross-lingual word embedding models Ruder, S; Vulić, I; Søgaard, A. - : AI Access Foundation, 2019. : Journal of Artificial Intelligence Research, 2019 BASE Show details 11 A systematic study of leveraging subword information for learning word representations Zhu, Y; Korhonen, Anna-Leena; Vulić, I. - : NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2019 BASE Show details

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