Vietnamese Semantic Role Labelling
In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences and its application for the Vietnamese language. We present our effort in building Vietnamese PropBank, the first Vietnamese SRL corpus and a software system for labelling semantic r...
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| Định dạng: | Journal article |
| Ngôn ngữ: | Vietnamese |
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2022
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/handle/123456789/982 http://arxiv.org/abs/1711.10124v1 |
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oai:scholar.dlu.edu.vn:123456789-9822023-04-20T03:39:48Z Vietnamese Semantic Role Labelling Phuong Le-Hong Thai Hoang Pham Xuan Khoai Pham Thi Minh Huyen Nguyen Nguyễn, Thị Lương Minh Hiep Nguyen Computer Science - Computation and Language; Computer Science - Computation and Language In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences and its application for the Vietnamese language. We present our effort in building Vietnamese PropBank, the first Vietnamese SRL corpus and a software system for labelling semantic roles of Vietnamese texts. In particular, we present a novel constituent extraction algorithm in the argument candidate identification step which is more suitable and more accurate than the common node-mapping method. In the machine learning part, our system integrates distributed word features produced by two recent unsupervised learning models in two learned statistical classifiers and makes use of integer linear programming inference procedure to improve the accuracy. The system is evaluated in a series of experiments and achieves a good result, an $F_1$ score of 74.77%. Our system, including corpus and software, is available as an open source project for free research and we believe that it is a good baseline for the development of future Vietnamese SRL systems. 2022-09-14T12:03:34Z 2022-09-14T12:03:34Z 2017-11-28 Journal article Bài báo đăng trên tạp chí trong nước (có ISSN), bao gồm book chapter http://scholar.dlu.edu.vn/handle/123456789/982 http://arxiv.org/abs/1711.10124v1 vi |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
Vietnamese |
| topic |
Computer Science - Computation and Language; Computer Science - Computation and Language |
| spellingShingle |
Computer Science - Computation and Language; Computer Science - Computation and Language Phuong Le-Hong Thai Hoang Pham Xuan Khoai Pham Thi Minh Huyen Nguyen Nguyễn, Thị Lương Minh Hiep Nguyen Vietnamese Semantic Role Labelling |
| description |
In this paper, we study semantic role labelling (SRL), a subtask of semantic
parsing of natural language sentences and its application for the Vietnamese
language. We present our effort in building Vietnamese PropBank, the first
Vietnamese SRL corpus and a software system for labelling semantic roles of
Vietnamese texts. In particular, we present a novel constituent extraction
algorithm in the argument candidate identification step which is more suitable
and more accurate than the common node-mapping method. In the machine learning
part, our system integrates distributed word features produced by two recent
unsupervised learning models in two learned statistical classifiers and makes
use of integer linear programming inference procedure to improve the accuracy.
The system is evaluated in a series of experiments and achieves a good result,
an $F_1$ score of 74.77%. Our system, including corpus and software, is
available as an open source project for free research and we believe that it is
a good baseline for the development of future Vietnamese SRL systems. |
| format |
Journal article |
| author |
Phuong Le-Hong Thai Hoang Pham Xuan Khoai Pham Thi Minh Huyen Nguyen Nguyễn, Thị Lương Minh Hiep Nguyen |
| author_facet |
Phuong Le-Hong Thai Hoang Pham Xuan Khoai Pham Thi Minh Huyen Nguyen Nguyễn, Thị Lương Minh Hiep Nguyen |
| author_sort |
Phuong Le-Hong |
| title |
Vietnamese Semantic Role Labelling |
| title_short |
Vietnamese Semantic Role Labelling |
| title_full |
Vietnamese Semantic Role Labelling |
| title_fullStr |
Vietnamese Semantic Role Labelling |
| title_full_unstemmed |
Vietnamese Semantic Role Labelling |
| title_sort |
vietnamese semantic role labelling |
| publishDate |
2022 |
| url |
http://scholar.dlu.edu.vn/handle/123456789/982 http://arxiv.org/abs/1711.10124v1 |
| _version_ |
1768306205832249344 |