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From treebank conversion to automatic dependency parsing for Vietnamese
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Số , năm 2014 (Tập 8455 LNCS, trang 196-207)
ISSN: 3029743
ISSN: 3029743
DOI: 10.1007/978-3-319-07983-7_26
Tài liệu thuộc danh mục: Scopus
Conference Paper
English
Từ khóa: Information systems; Natural language processing systems; Conversion methods; Dependency parser; Dependency parsing; Dependency trees; Gold standards; New approaches; Treebanks; Vietnamese; Forestry; Forestry; Information Systems
Tóm tắt tiếng anh
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%. � Springer International Publishing Switzerland 2014.
