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Hits 1 – 4 of 4
1
Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation ...
Liu, Qianchu
;
McCarthy, D
;
Vulić, I
. - : Apollo - University of Cambridge Repository, 2019
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2
Investigating cross-lingual alignment methods for contextualized embeddings with Token-level evaluation
Liu, Qianchu
;
McCarthy, D
;
Vulić, I
. - : CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference, 2019
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3
Acquiring verb classes through bottom-up semantic verb clustering ...
Majewska, Olga
;
McCarthy, D
;
Vulić, I
;
Korhonen, Anna-Leena
. - : Apollo - University of Cambridge Repository, 2018
Abstract:
In this paper, we present the first analysis of bottom-up manual semantic clustering of verbs in three languages, English, Polish and Croatian. Verb classes including syntactic and semantic information have been shown to support many NLP tasks by allowing abstraction from individual words and thereby alleviating data sparseness. The availability of such classifications is however still non-existent or limited in most languages. While a range of automatic verb classification approaches have been proposed, high-quality resources and gold standards are needed for evaluation and to improve the performance of NLP systems. We investigate whether semantic verb classes in three different languages can be reliably obtained from native speakers without linguistics training. The analysis of inter-annotator agreement shows an encouraging degree of overlap in the classifications produced for each language individually, as well as across all three languages. Comparative examination of the resultant classifications ...
URL:
https://www.repository.cam.ac.uk/handle/1810/279155
https://dx.doi.org/10.17863/cam.26535
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4
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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