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arXiv · 1910.13732

LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese

Binh Duc Nguyen·Kiet Van Nguyen·Ngan Luu-Thuy Nguyen
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Abstract

In Vietnamese dependency parsing, several methods have been proposed. Dependency parser which uses deep neural network model has been reported that achieved state-of-the-art results. In this paper, we proposed a new method which applies LSTM easy-first dependency parsing with pre-trained word embeddings and character-level word embeddings. Our method achieves an accuracy of 80.91% of unlabeled attachment score and 72.98% of labeled attachment score on the Vietnamese Dependency Treebank (VnDT).

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Binh Duc Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen. 2019-10-30. LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese. https://doi.org/10.1109/kse.2018.8573397

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