Duc-Vu Nguyen
2021
Span Detection for Vietnamese Aspect-Based Sentiment Analysis
Kim Nguyen Thi Thanh
|
Sieu Huynh Khai
|
Phuc Pham Huynh
|
Luong Phan Luc
|
Duc-Vu Nguyen
|
Kiet Nguyen Van
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling
Duc-Vu Nguyen
|
Linh-Bao Vo
|
Ngoc-Linh Tran
|
Kiet Nguyen
|
Ngan Nguyen
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
2019
NLP@UIT at SemEval-2019 Task 4: The Paparazzo Hyperpartisan News Detector
Duc-Vu Nguyen
|
Thin Dang
|
Ngan Nguyen
Proceedings of the 13th International Workshop on Semantic Evaluation
This paper describes the system of NLP@UIT that participated in Task 4 of SemEval-2019. We developed a system that predicts whether an English news article follows a hyperpartisan argumentation. Paparazzo is the name of our system and is also the code name of our team in Task 4 of SemEval-2019. The Paparazzo system, in which we use tri-grams of words and hepta-grams of characters, officially ranks thirteen with an accuracy of 0.747. Another system of ours, which utilizes trigrams of words, tri-grams of characters, trigrams of part-of-speech, syntactic dependency sub-trees, and named-entity recognition tags, achieved an accuracy of 0.787 and is proposed after the deadline of Task 4.
Search
Co-authors
- Ngan Nguyen 2
- Kim Nguyen Thi Thanh 1
- Sieu Huynh Khai 1
- Phuc Pham Huynh 1
- Luong Phan Luc 1
- show all...