1. Student's full name: Le Van Cuong
2. Gender: Male
3. Date of birth: June 12, 1998
4. Place of birth: Hai Phong
5. Decision number for student admission:
2948/2021Decision No. /QD-XHNV dated December 28, 2021, of the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi
6. Changes to the training process: Training extended by 6 months (until June 28, 2024)
7. Thesis title: Research on representing syntactic-semantic constraints of some verbs for natural language processing.
8. Major: Linguistics; Code:
8229020.019. Scientific Advisor: Dr. Nguyen Thi Minh Huyen. Affiliation of the Scientific Advisor: Faculty of Mathematics, Mechanics and Informatics, University of Science, Vietnam National University, Hanoi.
10. Summary of thesis results: (brief summary no more than 100 words): In natural language processing, understanding and representing the semantics of a text requires the ability to identify the central predicate and the syntactic-semantic constraints of the modifiers. Resources such as VerbNet, FrameNet, and WordNet provide essential information for this task. However, there are still no equivalent resources for Vietnamese. This thesis focuses on researching and developing syntactic-semantic constraint descriptions for verb classes in Vietnamese, contributing to solving the aforementioned resource shortage.
11. Practical applications: Contributing to the development of syntactic and semantic constraint representations that are appropriate to the characteristics of the Vietnamese language, compared with English, for use in natural language processing applications.
12. Future research directions: Continue building the components of the viVerbNet resource and develop semantically labeled corpuses.
13. Published works related to the thesis: 2 works
- Le Van Cuong, Ha My Linh, Nguyen Thi Minh Huyen, Construction of a VerbNet style lexicon for Vietnamese, Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020, Hanoi, Vietnam. (Co-author)
- Le Van Cuong, Building a semantic network for some classes of Vietnamese verbs, First Prize in Student Scientific Research, Vietnam National University, Hanoi, 2021.
INFORMATION ON MASTER'S THESIS
1. Full name: Le Van Cuong
2. Sex: Male
3. Date of birth: 12/06/1998
4. Place of birth: Hai Phong
5. Admission decision number:
2948/2021/QD-XHNVDate December 28, 2021 by the rector of the University of Social Sciences and Humanities, VNU.
6. Changes in academic process: Extend studying for 6 months (to June 28, 2024)
7. Official thesis title: Study of syntactic-semantic restrictions of some verbs for natural language processing
8. Major: Linguistic Code: 8229020.01
9. Supervisors: PhD. Nguyen Thi Minh Huyen
10. Summary of the findings of the thesis: In natural language processing, understanding and representing semantic content of texts require identifying the central verb and syntactic-sematic restrictions of its constituents. Resources like VerbNet, FrameNet, and WordNet provide essential information for this task. However, for Vietnamese, equivalent resources are lacking. This thesis focuses on constructing descriptions of syntactic-semantic constraints for verb classes in Vietnamese, aiming to address the scarcity of such resources.
11. Practical applicability: Contribute to building representations of syntax-semantic restrictions aligned with Vietnamese characteristics compared to English, serving natural language processing applications.
12. Further research directions: Continue developing components of the viVerbNet resource and constructing labeled semantic corpus datasets.
13. Thesis-related publications: 2
- Le Van Cuong, Ha My Linh, Nguyen Thi Minh Huyen, Construction of a VerbNet-style lexicon for Vietnamese, Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020, Hanoi, Vietnam. (Co-authors)
- Le Van Cuong, Building a semantic network for some classes of Vietnamese verbs, Student scientific research, 2021.
Supervisors Admission
