A Bi-LSTM-CRF with n-gram embeddings, self-attention, and modified Cross-View Training improves Thai sentence segmentation F1 to 92.5% on Orchid and 88.9% on UGWC, and punctuation restoration overall F1 to 65.2% on IWSLT.
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Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations
A Bi-LSTM-CRF with n-gram embeddings, self-attention, and modified Cross-View Training improves Thai sentence segmentation F1 to 92.5% on Orchid and 88.9% on UGWC, and punctuation restoration overall F1 to 65.2% on IWSLT.