CSDL Bài trích Báo - Tạp chí
In-order transition-based parsing for Vietnamese
Tác giả: John Bauer, Hung Bui, Vy Thai, Christopher D. Manning
Số trang:
P. 207-221
Số phát hành:
Tập 39 - Số 3
Kiểu tài liệu:
Tạp chí trong nước
Nơi lưu trữ:
03 Quang Trung
Mã phân loại:
005
Ngôn ngữ:
English
Từ khóa:
Tin học & Điều khiển học, Journal of computer science and cybernetics
Chủ đề:
Computer science
Tóm tắt:
In this paper, we implement a general neural constituency parser based on an in-order parser. We apply this parser to the VLSP 2022 Vietnamese treebank, obtaining a test score of .8393 F1, top of the private test leaderboard. Earlier versions of the parser for languages other than Vietnamese have already been included in the publicly released Python package Stanza [35 ]. The next Stanza release will include the Vietnamese model, along with all of the code used in this project.
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