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Zero-shot language transfer for cross-lingual sentence retrieval using bidirectional attention model
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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
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A systematic study of leveraging subword information for learning word representations
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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
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Bridging languages through images with deep partial canonical correlation analysis ...
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On the limitations of unsupervised bilingual dictionary induction ...
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Automatic detection and correction of context-dependent dt-mistakes using neural networks ...
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Abstract:
We introduce a novel approach to correcting context-dependent dt-mistakes, one of the most frequent spelling errors in the Dutch language. We show that by using a neural network to estimate the probability distribution of a verb's suffix conditioned jointly on its stem and context, we obtain large improvements over state-of-the-art spell checkers on three different benchmarking datasets, achieving a perfect score on a verb spelling test from \emph{de Standaard}, a Flemish newspaper. The method is unsupervised and only relies on basic preprocessing tools to tokenize the text and identify verbs, which enables training on millions of sentences. Furthermore, we propose a method to determine which words in a sentence cause the system to make corrections, which is valuable for providing feedback to the user. ...
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URL: https://dx.doi.org/10.17863/cam.37762 https://www.repository.cam.ac.uk/handle/1810/290532
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27 |
Acquiring verb classes through bottom-up semantic verb clustering ...
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Scoring lexical entailment with a supervised directional similarity network ...
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Discriminating between lexico-semantic relations with the specialization tensor model ...
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Explicit retrofitting of distributional word vectors
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Glavaš, G; Vulić, I. - : Association for Computational Linguistics, 2018. : ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2018
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Scoring lexical entailment with a supervised directional similarity network
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Rei, Marek; Gerz, Daniela; Vulić, I. - : Association for Computational Linguistics, 2018. : ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2018
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Discriminating between lexico-semantic relations with the specialization tensor model
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Glavaš, G; Vulić, I. - : NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2018
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34 |
Automatic detection and correction of context-dependent dt-mistakes using neural networks
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On the limitations of unsupervised bilingual dictionary induction
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Søgaard, A; Ruder, S; Vulić, I. - : Association for Computational Linguistics, 2018. : ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2018
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Bridging languages through images with deep partial canonical correlation analysis
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Rotman, G; Vulić, I; Reichart, R. - : Association for Computational Linguistics, 2018. : ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2018
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37 |
Acquiring verb classes through bottom-up semantic verb clustering
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Fully statistical neural belief tracking
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Mrkšić, N; Vulić, I. - : Association for Computational Linguistics, 2018. : ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2018
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Bilingual lexicon induction by learning to combine word-level and character-level representations ...
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Decoding sentiment from distributed representations of sentences ...
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