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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 3 Hits 1 – 20 of 53 1 Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ... Litschko, R; Vulić, I; Ponzetto, SP. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 2 Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ... Liu, Fangyu; Vulić, I; Korhonen, Anna-Leena. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 3 Towards zero-shot language modeling ... Ponti, Edoardo; Vulić, I; Cotterell, R. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 4 Cross-lingual semantic specialization via lexical relation induction ... Ponti, Edoardo; Vulić, I; Glavaš, G. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 5 Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization ... Ponti, Edoardo; Vulić, I; Glavaš, G. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 6 Do we really need fully unsupervised cross-lingual embeddings? ... Vulić, I; Glavaš, G; Reichart, R. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 7 On the relation between linguistic typology and (limitations of) multilingual language modeling ... Gerz, Daniela; Vulić, I; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 8 Cross-lingual semantic specialization via lexical relation induction Ponti, Edoardo; Vulić, I; Glavaš, G. - : EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2020 BASE Show details 9 On the relation between linguistic typology and (limitations of) multilingual language modeling Gerz, Daniela; Vulić, I; Ponti, Edoardo. - : Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018, 2020 BASE Show details 10 Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization Ponti, Edoardo; Vulić, I; Glavaš, G. - : Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018, 2020 BASE Show details 11 Do we really need fully unsupervised cross-lingual embeddings? Vulić, I; Glavaš, G; Reichart, R. - : EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2020 BASE Show details 12 Towards zero-shot language modeling Ponti, Edoardo; Vulić, I; Cotterell, R; Reichart, R; Korhonen, Anna-Leena. - : EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2020 Abstract: Can we construct a neural language model which is inductively biased towards learning human language? Motivated by this question, we aim at constructing an informative prior for held-out languages on the task of character-level, open-vocabulary language modeling. We obtain this prior as the posterior over network weights conditioned on the data from a sample of training languages, which is approximated through Laplace’s method. Based on a large and diverse sample of languages, the use of our prior outperforms baseline models with an uninformative prior in both zero-shot and few-shot settings, showing that the prior is imbued with universal linguistic knowledge. Moreover, we harness broad language-specific information available for most languages of the world, i.e., features from typological databases, as distant supervision for held-out languages. We explore several language modeling conditioning techniques, including concatenation and meta-networks for parameter generation. They appear beneficial in the few-shot setting, but ineffective in the zero-shot setting. Since the paucity of even plain digital text affects the majority of the world’s languages, we hope that these insights will broaden the scope of applications for language technology. URL: https://www.repository.cam.ac.uk/handle/1810/296685 https://doi.org/10.17863/CAM.43733 BASE Hide details 13 A survey of cross-lingual word embedding models ... Ruder, S; Vulić, I; Søgaard, A. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 14 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 15 Learning unsupervised multilingual word embeddings with incremental multilingual hubs ... Heyman, G; Verreet, B; Vulić, I. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 16 Specializing distributional vectors of allwords for lexical entailment ... Kamath, A; Pfeiffer, J; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 17 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 18 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 19 Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation Liu, Qianchu; McCarthy, D; Vulić, I. - : CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference, 2019 BASE Show details 20 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 Page: 1 2 3

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