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1
Semantic Data Set Construction from Human Clustering and Spatial Arrangement ...
Majewska, Olga; McCarthy, Diana; Van Den Bosch, Jasper JF. - : Apollo - University of Cambridge Repository, 2021
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2
Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets ...
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3
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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4
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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5
Quantifying lexical usage: vocabulary pertaining to ecosystems and the environment
Burgess, Jacquelin; Wild, Kate; McCarthy, Diana. - : Edinburgh University Press, 2021
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6
Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis ...
Majewska, Olga; Vulic, Ivan; McCarthy, Diana. - : Apollo - University of Cambridge Repository, 2020
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7
Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis ...
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8
Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis
Majewska, Olga; Vulic, Ivan; McCarthy, Diana. - : International Committee on Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.coling-main.423, 2020. : Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), 2020
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9
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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10
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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11
Licensing Complex Prepositions via Lexical Constraints
Trawiński, Beata [Verfasser]; Bond, Francis [Herausgeber]; Korhonen, Anna [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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12
Investigating the cross-lingual translatability of VerbNet-style classification [<Journal>]
Majewska, Olga [Verfasser]; Vulić, Ivan [Sonstige]; McCarthy, Diana [Sonstige].
DNB Subject Category Language
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13
Word Sense Clustering and Clusterability
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838502 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2016, 42, pp.245-275. &#x27E8;10.1162/COLI&#x27E9; (2016)
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14
Integrating character representations into Chinese word embedding
Chen, Xingyuan; Jin, Peng; McCarthy, Diana Frances. - : Springer International Publishing, 2016
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15
Inferences during reading
Ratcliff, Roger; Broek, Paul van den; Cain, Kate. - Cambridge : Cambridge University Press, 2015
BLLDB
UB Frankfurt Linguistik
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16
Semantic clustering of pivot paraphrases
In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01838559 ; International Conference on Language Resources and Evaluation, Jan 2014, Reykjavik, Iceland (2014)
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17
A lexicographic appraisal of an automatic approach for detecting new wordsenses
In: Electronic lexicography in the 21st century: thinking outside the paper. Proceedings of the eLex 2013 conference, 17 - 19 October 2013, Tallinn, Estonia (2013), 49-65
IDS OBELEX meta
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18
Quantifying lexical usage: vocabulary pertaining to ecosystems and the environment
In: Corpora. - Edinburgh : Univ. Press 8 (2013) 1, 53-79
BLLDB
OLC Linguistik
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19
Quantifying lexical usage: vocabulary pertaining to ecosystems and the environment
Church, Andrew; McCarthy, Diana; Wild, Kate. - : Edinburgh University Press, 2013
BASE
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20
Finding Meaning in Context Using Graph Algorithms in Mono- and Cross-lingual Settings
Sinha, Ravi Som. - : University of North Texas, 2013
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