@inproceedings{8684b08535f14c35b1d4bf7ca3987eb4,
title = "From treebank conversion to automatic dependency parsing for Vietnamese",
abstract = "This paper presents a new conversion method to automatically transform a constituent-based Vietnamese Treebank into dependency trees. On a dependency Treebank created according to our new approach, we examine two state-of-the-art dependency parsers: the MSTParser and the MaltParser. Experiments show that the MSTParser outperforms the MaltParser. To the best of our knowledge, we report the highest performances published to date in the task of dependency parsing for Vietnamese. Particularly, on gold standard POS tags, we get an unlabeled attachment score of 79.08% and a labeled attachment score of 71.66%.",
author = "Nguyen, {Dat Quoc} and Nguyen, {Dai Quoc} and Pham, {Son Bao} and Phuong-Thai Nguyen and {Le Nguyen}, Minh",
year = "2014",
doi = "10.1007/978-3-319-07983-7_26",
language = "English",
isbn = "9783319079820",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "196--207",
editor = "Elisabeth M{\'e}tais and Mathieu Roche and Maguelonne Teisseire",
booktitle = "Natural language processing and information systems",
address = "United States",
note = "19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014 ; Conference date: 18-06-2014 Through 20-06-2014",
}