Research interests

    Biography

    https://people.eng.unimelb.edu.au/dqnguyen

    Recent publications

    1. Nguyen, DQ.; Vu, T.; Nguyen, TD.; Nguyen, DQ.; Phung, D. A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization. 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). Association for Computational Linguistics. 2019, pp. 2180-2189.
    2. Nguyen, DQ.; Verspoor, K. End-to-end neural relation extraction using deep biaffine attention. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SpringerLink. 2019, Vol. 11437 LNCS, pp. 729-738. DOI: 10.1007/978-3-030-15712-8_47
    3. Dat, QN.; Verspoor, K. From POS tagging to dependency parsing for biomedical event extraction. BMC Bioinformatics. BMC. 2019, Vol. 20, Issue 1. DOI: 10.1186/s12859-019-2604-0
    4. Nguyen, DQ.; Nguyen, DQ.; Vu, T.; Dras, M.; Johnson, M. A Fast and Accurate Vietnamese Word Segmenter. Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association. 2018, pp. 2582-2587.
    5. Nguyen, DQ.; Nguyen, TD.; Nguyen, DQ.; Phung, D. A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). Association for Computational Linguistics. 2018, pp. 327-333.
    6. Nguyen, DQ.; Verspoor, K. An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing. Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. Association for Computational Linguistics. 2018, pp. 81-91.
    7. Zhai, Z.; Nguyen, DQ.; Verspoor, K. Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition. Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis. Association for Computational Linguistics. 2018, pp. 38-43.
    8. Nguyen, DQ.; Verspoor, K. Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings. Proceedings of the BioNLP 2018 workshop. Association for Computational Linguistics. 2018, pp. 129-136.
    9. Vu, T.; Nguyen, DQ.; Vu, X-S.; Nguyen, DQ.; Catt, M.; Trenell, M. NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter. Proceedings of The 12th International Workshop on Semantic Evaluation. Association for Computational Linguistics. 2018, pp. 525-530.
    10. Vu, T.; Nguyen, DQ.; Nguyen, DQ.; Dras, M.; Johnson, M. VnCoreNLP: A Vietnamese Natural Language Processing Toolkit. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations. Association for Computational Linguistics. 2018, pp. 56-60.
    11. Surian, D.; Dat, QN.; Kennedy, G.; Johnson, M.; Coiera, E.; Dunn, AG. Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection. Journal of Medical Internet Research. JMIR PUBLICATIONS, INC. 2016, Vol. 18, Issue 8. DOI: 10.2196/jmir.6045