VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Table 3: LAS and UAS scores (in %) computed on all tokens (i.e. including punctuation) on the test set w.r.t. gold word-segmentation. “Speed” is defined as in Table 2. The subscript “–NER” denotes the model without using automatically predicted NER labels as features. The results of the MSTParser McDonald et al. (2005), MaltParser Nivre et al. (2007), and BiLSTM-based parsing models BIST-bmstparser and BIST-barchybrid Kiperwasser and Goldberg (2016) are reported in NguyenALTA2016. The result of the jPTDP model for Vietnamese is mentioned in NguyenVNDJ-ALTA-2017.
['[BOLD] Model Gold POS', '[BOLD] Model VnCoreNLP', '[BOLD] LAS  [BOLD] 73.39', '[BOLD] UAS 79.02', '[BOLD] Speed _']
The first six rows present the scores with gold POS tags. The next two rows show scores of VnCoreNLP with automatic POS tags which are produced by our POS tagging component. The last row presents scores of the joint POS tagging and dependency parsing model jPTDP Nguyen et al. Note that previous results for other systems are reported without using additional information of automatically predicted NER labels. Notably, we also obtain a fast parsing speed at 8K words per second.