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Post-specialisation: Retrofitting vectors of words unseen in lexical resources
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Discriminating between lexico-semantic relations with the specialization tensor model
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163 |
Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization
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Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ...
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Abstract:
This paper is concerned with identifying contexts useful for training word representation models for different word classes such as adjectives (A), verbs (V), and nouns (N). We introduce a simple yet effective framework for an automatic selection of {\em class-specific context configurations}. We construct a context configuration space based on universal dependency relations between words, and efficiently search this space with an adapted beam search algorithm. In word similarity tasks for each word class, we show that our framework is both effective and efficient. Particularly, it improves the Spearman's rho correlation with human scores on SimLex-999 over the best previously proposed class-specific contexts by 6 (A), 6 (V) and 5 (N) rho points. With our selected context configurations, we train on only 14% (A), 26.2% (V), and 33.6% (N) of all dependency-based contexts, resulting in a reduced training time. Our results generalise: we show that the configurations our algorithm learns for one English training ...
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Keyword:
Context configurations; Context selection; Multilinguality; Transfer learning; Word representations
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URL: https://www.repository.cam.ac.uk/handle/1810/269692 https://dx.doi.org/10.17863/cam.10795
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168 |
Cross-lingual syntactically informed distributed word representations ...
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Vulic, Ivan. - : Apollo - University of Cambridge Repository, 2017
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Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints ...
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171 |
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules ...
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172 |
Decoding Sentiment from Distributed Representations of Sentences ...
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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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Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules ...
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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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Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
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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
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178 |
Cross-lingual syntactically informed distributed word representations
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Vulic, Ivan. - : Association for Computational Linguistics, 2017. : 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference, 2017
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179 |
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations
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Rappoport, Ari; Reichart, Roi; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : https://arxiv.org/pdf/1608.05528.pdf, 2017. : Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
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If sentences could see: Investigating visual information for semantic textual similarity
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