Dat Nguyen

ChEMU: Named entity recognition and event extraction of chemical reactions from patents

DQ Nguyen, Z Zhai, H Yoshikawa, B Fang, C Druckenbrodt, C Thorne, R Hoessel, SA Akhondi, T Cohn, T Baldwin, K Verspoor

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

We introduce a new evaluation lab named ChEMU (Cheminformatics Elsevier Melbourne University), part of the 11th Conference and Lab..

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

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..

Risk prediction using electronic health records of patients with atrial fibrillation

Dat Quoc Nguyen, Karin Verspoor, Blanca Gallego Luxan

Conference Proceedings  |  2019  |  Proceedings of the Advances in Data Science conference abstracts

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..

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..