UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment

Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Arnob Mallik, Grzegorz Kondrak


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.
Anthology ID:
2020.semeval-1.32
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Venues:
*SEMEVAL | COLING
SIG:
SIGLEX
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
263–269
Language:
URL:
https://www.aclweb.org/anthology/2020.semeval-1.32
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.semeval-1.32.pdf