Self-attention networks achieve competitive results to BiLSTM-CRF on Chinese word segmentation, with BERT and word integration yielding the best reported performance on six heterogeneous domain benchmarks.
In Proceedings of the 55th Annual Meeting of the As- sociation for Computational Linguistics (Volume 2: Short Papers), volume 2, pages 608–615
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Investigating Self-Attention Network for Chinese Word Segmentation
Self-attention networks achieve competitive results to BiLSTM-CRF on Chinese word segmentation, with BERT and word integration yielding the best reported performance on six heterogeneous domain benchmarks.