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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 38 1 Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ... Mrkšić, Nikola; Vulić, Ivan; Séaghdha, Diarmuid Ó. - : arXiv, 2017 BASE Show details 2 Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules ... Vulić, Ivan; Mrkšić, Nikola; Reichart, Roi. - : arXiv, 2017 BASE Show details 3 Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ... Mrkšić, Nikola; Vulić, Ivan; Ó Séaghdha, Diarmuid; Leviant, Ira; Reichart, Roi; Gašić, Milica; Korhonen, Anna; Young, Steve. - : Apollo - University of Cambridge Repository, 2017 Abstract: We present Attract-Repel, an algorithm for improving the semantic quality of word vectors by injecting constraints extracted from lexical resources. Attract-Repel facilitates the use of constraints from mono- and cross-lingual resources, yielding semantically specialised cross-lingual vector spaces. Our evaluation shows that the method can make use of existing cross-lingual lexicons to construct high-quality vector spaces for a plethora of different languages, facilitating semantic transfer from high- to lower-resource ones. The effectiveness of our approach is demonstrated with state-of-the-art results on semantic similarity datasets in six languages. We next show that Attract-Repel-specialised vectors boost performance in the downstream task of dialogue state tracking (DST) across multiple languages. Finally, we show that cross-lingual vector spaces produced by our algorithm facilitate the training of multilingual DST models, which brings further performance improvements. ... : Ivan Vulic, Roi Reichart and Anna Korhonen are supported by the ERC Consolidator Grant LEXICAL (number 648909). Roi Reichart is also supported by the Intel-ICRI grant: Hybrid Models for Minimally Supervised Information Extraction from Conversations. ... URL: https://www.repository.cam.ac.uk/handle/1810/266633 https://dx.doi.org/10.17863/cam.10174 BASE Hide details 4 Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules ... Vulic, Ivan; Mrkšic, N; Reichart, R. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 5 Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints Mrkšić, Nikola; Vulić, Ivan; Ó Séaghdha, Diarmuid. - : Association for Computational Linguistics, 2017. : https://www.transacl.org/ojs/index.php/tacl/article/view/1171, 2017. : Transactions of the Association for Computational Linguistics (TACL), 2017 BASE Show details 6 Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules Vulic, Ivan; Mrkšic, N; Reichart, R. - : Association for Computational Linguistics, 2017. : ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2017 BASE Show details 7 Counter-fitting Word Vectors to Linguistic Constraints ... Mrkšić, Nikola; Séaghdha, Diarmuid Ó; Thomson, Blaise. - : arXiv, 2016 BASE Show details 8 Neural Belief Tracker: Data-Driven Dialogue State Tracking ... Mrkšić, Nikola; Séaghdha, Diarmuid Ó; Wen, Tsung-Hsien. - : arXiv, 2016 BASE Show details 9 Research data supporting "On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems" Su, Pei-Hao; Gasic, Milica; Mrksic, Nikola. - : University of Cambridge, 2016 BASE Show details 10 Multi-domain neural network language generation for spoken dialogue systems Wen, TH; Gašić, M; Mrkšić, N. - : Association for Computational Linguistics, 2016. : 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference, 2016 BASE Show details 11 Multi-domain Dialog State Tracking using Recurrent Neural Networks ... Mrkšić, Nikola; Séaghdha, Diarmuid Ó; Thomson, Blaise. - : arXiv, 2015 BASE Show details 12 Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking ... Wen, Tsung-Hsien; Gasic, Milica; Kim, Dongho. - : arXiv, 2015 BASE Show details 13 Reinforcement learning for parameter estimation in statistical spoken dialogue systems Thomson, Blaise; Young, Steve; Jurčíček, Filip In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 26 (2012) 3, 168-192 BLLDB OLC Linguistik Show details 14 Continuous F0 modeling for HMM based statistical parametric speech synthesis Young, Steve; Yu, Kai In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 5, 1071-1079 BLLDB OLC Linguistik Show details 15 Context adaptive training with factorized decision trees for HMM-based statistical parametric speech synthesis Young, Steve; Yu, Kai; Mairesse, François... In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 6, 914-923 BLLDB OLC Linguistik Show details 16 Context adaptive training with factorized decision trees for HMM-based statistical parametric speech synthesis Yu, Kai; Zen, Heiga; Mairesse, François... In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00746106 ; Speech Communication, Elsevier : North-Holland, 2011, ⟨10.1016/j.specom.2011.03.003⟩ (2011) BASE Show details 17 The hidden information state model: a practical framework for POMDP-based spoken dialogue management Mairesse, François; Keizer, Simon; Young, Steve... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 2, 150-174 BLLDB OLC Linguistik Show details 18 Bayesian update of dialogue state: a POMDP framework for spoken dialogue systems Thomson, Blaise; Young, Steve In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 4, 562-588 BLLDB OLC Linguistik Show details 19 Phrase-based statistical language generation using graphical models and active learning Mairesse, François; Gašić, Milica; Jurčíček, Filip... In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1552-1561 BLLDB Show details 20 The hidden agenda user simulation model Young, Steve; Schatzmann, Jost In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 17 (2009) 4, 733-747 BLLDB OLC Linguistik Show details Page: 1 2

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