Reading: Learning Bilingual Word Embeddings Using Lexical Definitions

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0. Paper

@inproceedings{shi-etal-2019-learning, title = "Learning Bilingual Word Embeddings Using Lexical Definitions", author = "Shi, Weijia and Chen, Muhao and Tian, Yingtao and Chang, Kai-Wei", booktitle = "Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)", month = aug, year = "2019", address = "Florence, Italy", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/W19-4316", doi = "10.18653/v1/W19-4316", pages = "142--147", }

1. What is it?

They proposed a way to create bilingual word embedding using a dictionary.

2. What is amazing compared to previous studies?

They proposed a way to create bilingual word embedding using a dictionary.

3. Where is the key to technologies and techniques?

4. How did validate it?

• Word-level Translation Task (Retrieving)
• Sentence-level Translation Task (Retrieving)

These tasks are evaluated by precision, proposed by Conneau et al. (2018)

5. Is there a discussion?

6. Which paper should read next?

• Conneau et al. Word translation without parallel data. (2018)

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116 Word translation without parallel data