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Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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Data-Driven Language Understanding for Spoken Dialogue Systems ...
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Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization ...
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Abstract:
Semantic specialization is the process of fine-tuning pre-trained distributional word vectors using external lexical knowledge (e.g., WordNet) to accentuate a particular semantic relation in the specialized vector space. While post-processing specialization methods are applicable to arbitrary distributional vectors, they are limited to updating only the vectors of words occurring in external lexicons (i.e., seen words), leaving the vectors of all other words unchanged. We propose a novel approach to specializing the full distributional vocabulary. Our adversarial post-specialization method propagates the external lexical knowledge to the full distributional space. We exploit words seen in the resources as training examples for learning a global specialization function. This function is learned by combining a standard L2-distance loss with an adversarial loss: the adversarial component produces more realistic output vectors. We show the effectiveness and robustness of the proposed method across three ... : Accepted at EMNLP 2018 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1809.04163 https://arxiv.org/abs/1809.04163
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Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
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Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
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Post-specialisation: Retrofitting vectors of words unseen in lexical resources
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Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization
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Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ...
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Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules ...
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Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation ...
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Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ...
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Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
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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
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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 Dialog State Tracking using Recurrent Neural Networks ...
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Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking ...
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