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Counter-fitting Word Vectors to Linguistic Constraints ...
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Mrkšić, Nikola; Séaghdha, Diarmuid Ó; Thomson, Blaise; Gašić, Milica; Rojas-Barahona, Lina; Su, Pei-Hao; Vandyke, David; Wen, Tsung-Hsien; Young, Steve. - : arXiv, 2016
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Abstract:
In this work, we present a novel counter-fitting method which injects antonymy and synonymy constraints into vector space representations in order to improve the vectors' capability for judging semantic similarity. Applying this method to publicly available pre-trained word vectors leads to a new state of the art performance on the SimLex-999 dataset. We also show how the method can be used to tailor the word vector space for the downstream task of dialogue state tracking, resulting in robust improvements across different dialogue domains. ... : Paper accepted for the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2016) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.1603.00892
https://arxiv.org/abs/1603.00892
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Neural Belief Tracker: Data-Driven Dialogue State Tracking ...
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Research data supporting "On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems"
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Multi-domain neural network language generation for spoken dialogue systems
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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
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