Hello!

I'm Truong Do, NLP enthusiast focused on semantic parsing & deep learning

Get in touch truongdo619@gmail.com
scholar github linkedin

Background

I'm currently a Master Student at Japan Advanced Institute of Science and Technology (JAIST) mainly focused on researching semantic parsing and their applications such as task-oriented dialog systems, chatbot. I recently graduated from VNU University of Engineering and Technology majoring in Information Technology. I'm also a Lab Assistant at Nguyen's Lab, supervised by Le-Minh Nguyen, where we focus on advancing natural language processing.

When I'm not in front of a computer screen, I'm probably playing sports, reading books, or crossing off another item on my todo list.

Skills
Languages
  • Python
  • Javascript
  • SQL
  • C++
Libraries
  • Pytorch
  • Keras
  • Transformers
  • scikit-learn
  • VueJS
Tools
  • Linux
  • Git
  • Docker
  • Kubernetes
  • Elasticsearch
Others
  • Machine Learning
  • Natural Language Processing
  • Research
  • Photoshop
  • After Effects
Experience
JAIST
Oct. 2021 - Present
Master Student
Nguyen's Lab
Oct. 2021 - Present
Lab Assistant
Software Engineering Lab
Jan. 2020 - Jul. 2021
Undergraduate Research Student
View My Resume
Publications
StructSP: Efficient Fine-tuning of Task- Oriented Dialog System by Using Structure-aware Boosting and Grammar Constraints

ACL, 2023

Dinh-Truong Do*, Minh-Phuong Nguyen*, Minh-Le Nguyen

CODE
GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task

NLDB, 2023

Dinh-Truong Do*, Minh-Phuong Nguyen, Minh-Le Nguyen

CODE
CovRelex-SE: Adding Semantic Information for Relation Search via Sequence Embedding

EACL, 2023

Dinh-Truong Do*, Chau Nguyen, Vu Tran, Chau Nguyen, Ken Satoh, Yuji Matsumoto, and Minh-Le Nguyen

VSEC: Transformer-Based Model for Vietnamese Spelling Correction

PRICAI, 2021

Dinh-Truong Do*, Ha Thanh Nguyen, Thang Ngoc Bui, and Hieu Dinh Vo

CODE
Kodiak@ alqac2021: Deep learning for vietnamese legal information processing

KSE, 2021

Dinh-Truong Do*

Ranking warnings of static analysis tools using representation learning

APSEC, 2021

Kien-Tuan Ngo*, Dinh-Truong Do, Thu-Trang Nguyen, and Hieu Dinh Vo

tBART: Abstractive summarization based on the joining of Topic modeling and BART

KSE, 2022

Binh Dang*, Dinh-Truong Do, and Le-Minh Nguyen

JNLP@COLIEE-2023: Data Augmentation and Large Language Model for Legal Case Retrieval and Entailment

JURISIN, 2023

Quan Minh Bui*, Dinh-Truong Do*, Nguyen-Khang Le*, Dieu-Hien Nguyen, Khac-Vu-Hiep Nguyen, Trang Pham Ngoc Anh, and Minh Le Nguyen

JNLP Team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022

JURISIN, 2022

Quan Minh Bui*, Chau Nguyen, Dinh-Truong Do, Nguyen-Khang Le, Dieu-Hien Nguyen, Thi-Thu-Trang Nguyen, Minh-Phuong Nguyen, and Minh Le Nguyen

ALQAC 2022: A Summary of the Competition

KSE, 2021

Chau Nguyen*, Minh-Quan Bui, Dinh-Truong Do, Nguyen-Khang Le, Dieu-Hien Nguyen, Thu-Trang Nguyen, Ha-Thanh Nguyen, Vu Tran, Le-Minh Nguyen, Ngoc-Cam Le, Thi-Thuy Le, Minh-Phuong Nguyen,Tran-Binh Dang, Truong-Son Nguyen, Viet-Anh Phan, Thi-Hai-Yen Vuong, Minh-Tien Nguyen, Tung Le, and Tien-Huy Nguyen

Awards
Master Student MEXT Scholarship

JAIST, from October 2021 to September 2023

First Prize at Competition on Legal Information Extraction/Entailment (COLIEE)

JAIST, 2023

Second Prize at Zalo AI Challenge

JAIST, 2021

Mitsubishi International Student Scholarship

VNU University of Engineering and Technology, December 2020

Nitori International Scholarship

VNU University of Engineering and Technology, August 2019