@inproceedings{hauer-etal-2020-ualberta,
title = "{UA}lberta at {S}em{E}val-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment",
author = "Hauer, Bradley and
Habibi, Amir Ahmad and
Luan, Yixing and
Mallik, Arnob and
Kondrak, Grzegorz",
editor = "Herbelot, Aurelie and
Zhu, Xiaodan and
Palmer, Alexis and
Schneider, Nathan and
May, Jonathan and
Shutova, Ekaterina",
booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
month = dec,
year = "2020",
address = "Barcelona (online)",
publisher = "International Committee for Computational Linguistics",
url = "https://aclanthology.org/2020.semeval-1.32",
doi = "10.18653/v1/2020.semeval-1.32",
pages = "263--269",
abstract = "We investigate the hypothesis that translations can be used to identify cross-lingual lexical entailment. We propose novel methods that leverage parallel corpora, word embeddings, and multilingual lexical resources. Our results demonstrate that the implementation of these ideas leads to improvements in predicting entailment.",
}
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<abstract>We investigate the hypothesis that translations can be used to identify cross-lingual lexical entailment. We propose novel methods that leverage parallel corpora, word embeddings, and multilingual lexical resources. Our results demonstrate that the implementation of these ideas leads to improvements in predicting entailment.</abstract>
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%0 Conference Proceedings
%T UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment
%A Hauer, Bradley
%A Habibi, Amir Ahmad
%A Luan, Yixing
%A Mallik, Arnob
%A Kondrak, Grzegorz
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F hauer-etal-2020-ualberta
%X We investigate the hypothesis that translations can be used to identify cross-lingual lexical entailment. We propose novel methods that leverage parallel corpora, word embeddings, and multilingual lexical resources. Our results demonstrate that the implementation of these ideas leads to improvements in predicting entailment.
%R 10.18653/v1/2020.semeval-1.32
%U https://aclanthology.org/2020.semeval-1.32
%U https://doi.org/10.18653/v1/2020.semeval-1.32
%P 263-269
Markdown (Informal)
[UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment](https://aclanthology.org/2020.semeval-1.32) (Hauer et al., SemEval 2020)
ACL