Dat Nguyen

A convolutional neural network-based model for knowledge base completion and its application to search personalization

Dai Quoc Nguyen, Dat Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung

Journal article  |  2019  |  Semantic Web: interoperability, usability, applicability

In this paper, we propose a novel embedding model, named ConvKB, for knowledge base completion. Our model ConvKB advances state-of..

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

Zenan Zhai, Dat Quoc Nguyen, Saber Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor

Conference Proceedings  |  2019  |  Proceedings of the 18th BioNLP Workshop and Shared Task

Chemical patents are an important resource for chemical information. However, few chemical Named Entity Recognition (NER) systems ..

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung

Conference Proceedings  |  2019  |  Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, r..

From POS tagging to dependency parsing for biomedical event extraction

Quoc Nguyen Dat, Karin Verspoor

Journal article  |  2019  |  BMC Bioinformatics

Given the importance of relation or event extraction from biomedical research publications to support knowledge capture and synthe..

Detecting Chemical Reactions in Patents

Hiyori Yoshikawa, Dat Quoc Nguyen, Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber A Akhondi, Timothy Baldwin, Karin Verspoor

Conference Proceedings  |  2019  |  Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association

Extracting chemical reactions from patents is a crucial task for chemists working on chemical exploration. In this paper we introd..

End-to-end neural relation extraction using deep biaffine attention

DQ Nguyen, K Verspoor

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer Nature Switzerland AG 2019. We propose a neural network model for joint extraction of named entities and relations betw..

A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing

Dat Quoc Nguyen

Conference Proceedings  |  2019  |  Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association

We propose the first multi-task learning model for joint Vietnamese word segmentation, partof- speech (POS) tagging and dependency..

An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing

Dat Quoc Nguyen, Karin Verspoor

Conference Proceedings  |  2018  |  Proceedings of the

We propose a novel neural network model for joint part-of-speech (POS) tagging and dependency parsing. Our model extends the well-..

Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition

Zenan Zhai, Dat Quoc Nguyen, Karin Verspoor

Conference Proceedings  |  2018  |  Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis

We compare the use of LSTM-based and CNN-based character-level word embeddings in BiLSTM-CRF models to approach chemical and disea..

Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings

Dat Quoc Nguyen, Karin Verspoor

Conference Proceedings  |  2018  |  Proceedings of the BioNLP 2018 workshop

We investigate the incorporation of character-based word representations into a standard CNN-based relation extraction model. We e..

NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter

Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, Dai Quoc Nguyen, Michael Catt, Michael Trenell

Conference Proceedings  |  2018  |  Proceedings of The 12th International Workshop on Semantic Evaluation

This paper describes our NIHRIO system for SemEval-2018 Task 3 “Irony detection in English tweets.” We propose to use a simple..

VnCoreNLP: A Vietnamese Natural Language Processing Toolkit

Thanh Vu, Dat Quoc Nguyen, Dai Quoc Nguyen, Mark Dras, Mark Johnson

Conference Proceedings  |  2018  |  Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

We present an easy-to-use and fast toolkit, namely VnCoreNLP—a Java NLP annotation pipeline for Vietnamese. Our VnCoreNLP supports..

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung

Conference Proceedings  |  2018  |  Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)

In this paper, we propose a novel embedding model, named ConvKB, for knowledge base completion. Our model ConvKB advances state-of..

A Fast and Accurate Vietnamese Word Segmenter

Dat Quoc Nguyen, Dai Quoc Nguyen, Thanh Vu, Mark Dras, Mark Johnson

Conference Proceedings  |  2018  |  Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018)

Ripple Down Rules for Question Answering

Quoc Nguyen Dat, Quoc Nguyen Dai, Bao Pham Son

Journal article  |  2017  |  Semantic Web