Search Results for author: Minh-Tien Nguyen

Found 14 papers, 1 papers with code

Improving Document Image Understanding with Reinforcement Finetuning

no code implementations26 Sep 2022 Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan Anh D. Nguyen, Minh-Tien Nguyen, Hung Le

In this paper, we investigate the problem of improving the performance of Artificial Intelligence systems in understanding document images, especially in cases where training data is limited.

reinforcement-learning

Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation

1 code implementation NAACL 2022 Shumpei Inoue, Tsungwei Liu, Nguyen Hong Son, Minh-Tien Nguyen

To support the picker, we design two label creation methods (soft and hard labels), which can work in cases of no annotation data for the omitted tokens.

Language Modelling Text Generation

Robust Deep Reinforcement Learning for Extractive Legal Summarization

no code implementations13 Nov 2021 Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen Viet Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le

Automatic summarization of legal texts is an important and still a challenging task since legal documents are often long and complicated with unusual structures and styles.

reinforcement-learning

A Span Extraction Approach for Information Extraction on Visually-Rich Documents

no code implementations2 Jun 2021 Tuan-Anh D. Nguyen, Hieu M. Vu, Nguyen Hong Son, Minh-Tien Nguyen

Firstly, we introduce a new query-based IE model that employs span extraction instead of using the common sequence labeling approach.

Language Modelling

Sentence Compression as Deletion with Contextual Embeddings

no code implementations5 Jun 2020 Minh-Tien Nguyen, Bui Cong Minh, Dung Tien Le, Le Thai Linh

Sentence compression is the task of creating a shorter version of an input sentence while keeping important information.

Sentence Compression

Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network

no code implementations16 Mar 2017 Phong-Khac Do, Huy-Tien Nguyen, Chien-Xuan Tran, Minh-Tien Nguyen, Minh-Le Nguyen

This paper presents a study of employing Ranking SVM and Convolutional Neural Network for two missions: legal information retrieval and question answering in the Competition on Legal Information Extraction/Entailment.

Information Retrieval Question Answering +1

VSoLSCSum: Building a Vietnamese Sentence-Comment Dataset for Social Context Summarization

no code implementations WS 2016 Minh-Tien Nguyen, Dac Viet Lai, Phong-Khac Do, Duc-Vu Tran, Minh-Le Nguyen

This paper presents VSoLSCSum, a Vietnamese linked sentence-comment dataset, which was manually created to treat the lack of standard corpora for social context summarization in Vietnamese.

Learning-To-Rank

Lexical-Morphological Modeling for Legal Text Analysis

no code implementations3 Sep 2016 Danilo S. Carvalho, Minh-Tien Nguyen, Tran Xuan Chien, Minh Le Nguyen

In the context of the Competition on Legal Information Extraction/Entailment (COLIEE), we propose a method comprising the necessary steps for finding relevant documents to a legal question and deciding on textual entailment evidence to provide a correct answer.

Information Retrieval Language Modelling +3

Cannot find the paper you are looking for? You can Submit a new open access paper.