41 citations · 46 across the 4 of their papers we have counts for
7 papers
Emotion-Cause Pair Extraction as Question Answering
Huu-Hiep Nguyen, Minh-Tien Nguyen
The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all potential emotion-cause pairs of a document without any annotation of emotion or cause clauses. Previous approa…
A Span Extraction Approach for Information Extraction on Visually-Rich Documents
Tuan-Anh D. Nguyen, Hieu M. Vu, Nguyen Hong Son +1
Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA performance recently thanks to the adaptation of Transformer-based language models, which shows the…
Sentence Compression as Deletion with Contextual Embeddings
Minh-Tien Nguyen, Bui Cong Minh, Dung Tien Le +1
Sentence compression is the task of creating a shorter version of an input sentence while keeping important information. In this paper, we extend the task of compression by deletio…
Transfer Learning for Information Extraction with Limited Data
Minh-Tien Nguyen, Viet-Anh Phan, Le Thai Linh +4
This paper presents a practical approach to fine-grained information extraction. Through plenty of experiences of authors in practically applying information extraction to business…
Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network
Phong-Khac Do, Huy-Tien Nguyen, Chien-Xuan Tran +2
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 Leg…
Learning to Rank Questions for Community Question Answering with Ranking SVM
Minh-Tien Nguyen, Viet-Anh Phan, Truong-Son Nguyen +1
This paper presents our method to retrieve relevant queries given a new question in the context of Discovery Challenge: Learning to Re-Ranking Questions for Community Question Answ…