Search Results for author: Minh-Tien Nguyen

Found 7 papers, 0 papers with code

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

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 +2

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