BCWS: Bilingual Contextual Word Similarity

Ta-Chung Chi, Ching-Yen Shih, Yun-Nung Chen
10/21/2018
cs.CL

Official code: MiuLab/BCWS (5 stars, last commit 2018-10-31).

Abstract

This paper introduces the first dataset for evaluating English-Chinese Bilingual Contextual Word Similarity, namely BCWS (https://github.com/MiuLab/BCWS). The dataset consists of 2,091 English-Chinese word pairs with the corresponding sentential contexts and their similarity scores annotated by the human. Our annotated dataset has higher consistency compared to other similar datasets. We establish several baselines for the bilingual embedding task to benchmark the experiments. Modeling cross-lingual sense representations as provided in this dataset has the potential of moving artificial intelligence from monolingual understanding towards multilingual understanding.

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Code Implementations(1)

MiuLab/BCWSOfficial100%

Bilingual Contextual Word Similarity (English-Chinese)

50Sep 10, 20187 years ago

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Cite this paper

@article{chi2018bcws,
  title  = {BCWS: Bilingual Contextual Word Similarity},
  author = {Ta-Chung Chi and Ching-Yen Shih and Yun-Nung Chen},
  year   = {2018},
  eprint = {1810.08951},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1810.08951}
}

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