Search Results for author: Tin Van Huynh

Found 9 papers, 2 papers with code

ViNLI: A Vietnamese Corpus for Studies on Open-Domain Natural Language Inference

no code implementations COLING 2022 Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

In this paper, we introduce ViNLI (Vietnamese Natural Language Inference), an open-domain and high-quality corpus for evaluating Vietnamese NLI models, which is created and evaluated with a strict process of quality control.

Natural Language Inference Sentence

XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Source

no code implementations14 Apr 2022 Kiet Van Nguyen, Phong Nguyen-Thuan Do, Nhat Duy Nguyen, Tin Van Huynh, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen

Question answering (QA) is a natural language understanding task within the fields of information retrieval and information extraction that has attracted much attention from the computational linguistics and artificial intelligence research community in recent years because of the strong development of machine reading comprehension-based models.

Information Retrieval Machine Reading Comprehension +3

VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension

no code implementations22 Mar 2022 Kiet Van Nguyen, Son Quoc Tran, Luan Thanh Nguyen, Tin Van Huynh, Son T. Luu, Ngan Luu-Thuy Nguyen

To address the weakness, we provide the research community with a benchmark dataset named UIT-ViQuAD 2. 0 for evaluating the MRC task and question answering systems for the Vietnamese language.

Language Modelling Machine Reading Comprehension +7

Sentence Extraction-Based Machine Reading Comprehension for Vietnamese

no code implementations19 May 2021 Phong Nguyen-Thuan Do, Nhat Duy Nguyen, Tin Van Huynh, Kiet Van Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen

We propose a conversion algorithm to create the dataset for sentence extraction-based machine reading comprehension and three types of approaches for sentence extraction-based machine reading comprehension in Vietnamese.

Machine Reading Comprehension Question Answering +2

Job Prediction: From Deep Neural Network Models to Applications

no code implementations27 Dec 2019 Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen

In addition, we also proposed a simple and effective ensemble model combining different deep neural network models.

Job classification Job Prediction +1

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