1. Student's name: Le Van Cuong
2. Gender: Male
3. Date of birth: June 12, 1998
4. Place of birth: Hai Phong
5. Decision to recognize student number:
2948/2021/QĐ-XHNV dated December 28, 2021 of the President of the University of Social Sciences and Humanities, Vietnam National University, Hanoi
6. Changes in training process: 6-month training extension (until June 28, 2024)
7. Thesis topic: Research on syntactic-semantic constraint representation of some verbs for natural language processing
8. Major: Linguistics; Code:
8229020.019. Scientific advisor: Dr. Nguyen Thi Minh Huyen. Working place of the Scientific advisor: Faculty of Mathematics - Mechanics - Informatics - University of Science - Vietnam National University, Hanoi
10. Summary of the results of the thesis: (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 complement components. Resources such as VerbNet, FrameNet and WordNet provide essential information for this work. However, for Vietnamese, there is still no equivalent resource. This thesis focuses on researching and building syntactic-semantic constraint descriptions for verb classes in Vietnamese, contributing to solving the above resource shortage.
11. Practical applicability: Contribute to building syntactic and semantic constraint representations that are consistent with the characteristics of Vietnamese compared to English, serving natural language processing applications.
12. Future research directions: Continue to build components of the viVerbNet resource and build semantically labeled corpora.
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 semantic networks 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 semantic networks for some Vietnamese verb classes, Student scientific research, 2021.
Supervisors Admission
