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  |  42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part II

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

Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents

J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, Z Afzal, Z Zhai, B Fang, H Yoshikawa, A Albahem, L Cavedon, 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)

In this paper, we provide an overview of the Cheminformatics Elsevier Melbourne University (ChEMU) evaluation lab 2020, part of th..

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

BACKGROUND: Given the importance of relation or event extraction from biomedical research publications to support knowledge captur..

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

© 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..