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1
Bio-SimVerb ...
Chiu, Hon Wing; Pyysalo, Sampo; Vulic, Ivan. - : Apollo - University of Cambridge Repository, 2018
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2
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP ...
Ponti, Edoardo; Reichart, Roi; Korhonen, Anna-Leena. - : Apollo - University of Cambridge Repository, 2018
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3
Acquiring verb classes through bottom-up semantic verb clustering ...
Majewska, Olga; McCarthy, D; Vulić, I. - : Apollo - University of Cambridge Repository, 2018
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4
Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction ...
Gerz, Daniela; Vulić, Ivan; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2018
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5
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation ...
Vulic, Ivan; Korhonen, Anna-Leena; Linguist, Assoc Computat. - : Apollo - University of Cambridge Repository, 2018
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6
Investigating the cross-lingual translatability of VerbNet-style classification. ...
Majewska, Olga; Vulić, Ivan; McCarthy, Diana. - : Apollo - University of Cambridge Repository, 2018
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7
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
Vulic, Ivan; Glavaš, Goran; Mrkšić, Nikola. - : Apollo - University of Cambridge Repository, 2018
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8
Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction
Gerz, Daniela; Vulić, Ivan; Ponti, Edoardo. - : MIT Press - Journals, 2018. : Transactions of the Association for Computational Linguistics, 2018
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9
Investigating the cross-lingual translatability of VerbNet-style classification.
Majewska, Olga; Vulić, Ivan; McCarthy, Diana; Huang, Yan; Murakami, Akira; Laippala, Veronika; Korhonen, Anna-Leena. - : Springer Science and Business Media LLC, 2018. : Lang Resour Eval, 2018
Abstract: VerbNet-the most extensive online verb lexicon currently available for English-has proved useful in supporting a variety of NLP tasks. However, its exploitation in multilingual NLP has been limited by the fact that such classifications are available for few languages only. Since manual development of VerbNet is a major undertaking, researchers have recently translated VerbNet classes from English to other languages. However, no systematic investigation has been conducted into the applicability and accuracy of such a translation approach across different, typologically diverse languages. Our study is aimed at filling this gap. We develop a systematic method for translation of VerbNet classes from English to other languages which we first apply to Polish and subsequently to Croatian, Mandarin, Japanese, Italian, and Finnish. Our results on Polish demonstrate high translatability with all the classes (96% of English member verbs successfully translated into Polish) and strong inter-annotator agreement, revealing a promising degree of overlap in the resultant classifications. The results on other languages are equally promising. This demonstrates that VerbNet classes have strong cross-lingual potential and the proposed method could be applied to obtain gold standards for automatic verb classification in different languages. We make our annotation guidelines and the six language-specific verb classifications available with this paper.
URL: https://www.repository.cam.ac.uk/handle/1810/276130
https://doi.org/10.17863/CAM.23410
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10
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Vulic, Ivan; Korhonen, Anna-Leena; Linguist, Assoc Computat. - : REPRESENTATION LEARNING FOR NLP, 2018
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11
Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine.
Chiu, Billy; Pyysalo, Sampo; Vulić, Ivan. - : BioMed Central, 2018. : BMC bioinformatics, 2018
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12
Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine.
Chiu, Billy; Pyysalo, Sampo; Vulić, Ivan. - : Springer Science and Business Media LLC, 2018. : BMC Bioinformatics, 2018
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13
Dependency parsing of learner English
Huang, Yan; Murakami, Akira; Alexopoulou, Dora. - : John Benjamins Publishing Company, 2018. : International Journal of Corpus Linguistics, 2018
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14
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP
Vulic, Ivan; Ponti, Edoardo; Reichart, Roi. - : Association for Computational Linguistics, 2018. : Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), 2018
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15
Bio-SimVerb
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16
Acquiring verb classes through bottom-up semantic verb clustering
Majewska, Olga; McCarthy, D; Vulić, I. - : LREC 2018 - 11th International Conference on Language Resources and Evaluation, 2018
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