NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit
نویسندگان
چکیده
This paper demonstrates neural networkbased toolkit namely NNVLP for essential Vietnamese language processing tasks including part-of-speech (POS) tagging, chunking, named entity recognition (NER). Our toolkit is a combination of bidirectional Long Short-Term Memory (Bi-LSTM), Convolutional Neural Network (CNN), Conditional Random Field (CRF), using pre-trained word embeddings as input, which achieves state-ofthe-art results on these three tasks. We provide both API and web demo1 for this toolkit.
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