06/2015 - present: Research Assistant,The University of Manchester, United Kingdom
04/2013 - 12/2014: Researcher, Japan Advanced Institute of Science and Technology (JAIST)
10/2013 - 03/2014: Intership, I2R Institute, Singapore
10/2011 - 09/2013: Lecturer, Faculty of Information Technology, Uninersity of Science, VNU-HCM
10/2010 - 09/2011: Researcher, Japan Advanced Institute of Science and Technology (JAIST)
10/2007 - 09/2010: Lecturer, Faculty of Information Technology, Uninersity of Science, VNU-HCM
10/2005 - 07/2007: Teaching Assistant, Faculty of Information Technology, Uninersity of Science, VNU-HCM
Courses Taught
Data Structures and Algorithms
Fundamentals of Artificial Intelligence
Research Interests
Natural Language Processing
Data Mining
Machine Learning
Extract information in the Biomedical text
Selected Publication
Nhung T.H. Nguyen, Rosalyn Gabud and Sophia Ananiadou. COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature. In: Biodiversity Data Journal 7: e29626, doi: 10.3897/BDJ.7.e29626 (January 2019).
Nhung T.H. Nguyen, Fenia Christopoulou, Thy-Thy Tran, Meizhi Ju, Sunil Kumar Sahu, Makoto Miwa, and Sophia Ananiadou. Extracting Adverse Drug Events and Medication in EHRs with Ensembles of Feature-based and Deep Learning Models. 2018 n2c2 Shared-Task and Workshop – AMIA Fall Symposium (November 2018).
Quy T. Nguyen, Yusuke Miyao, Hiroshi Noji, Nhung T.H. Nguyen. An Empirical Investigation of Error Types in Vietnamese Parsing. In: Proceedings of the 27th International Conference on Computational Linguistics, pp. 3075–3089 (August 2018) (http://www.aclweb.org/anthology/C18-1260).
Hai-Long Trieu, Nhung T.H. Nguyen, Makoto Miwa, Sophia Ananiadou. Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts. In: Proceedings of the BioNLP 2018 workshop, pp. 183–188 (July 2018) (http://aclweb.org/anthology/W18-2324)
Shardlow, M., Nguyen, N. T. H., Owen, G., Turner, S., O'Donovan, C., Leach, A., McNaught, J. and Ananiadou, S.. A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database. In: Proceedings of LREC 2018.
Maolin Li, Nhung T.H. Nguyen, and Sophia Ananiadou. Proactive Learning for Named Entity Recognition. Proceedings of the BioNLP 2017 workshop, pp. 117–125, Association for Computational Linguistics (July 2017).
Quy T. Nguyen, Yusuke Miyao, Ha T.T. Le, Nhung T.H. Nguyen. Ensuring annotation consistency and accuracy for Vietnamese treebank. Language Resources and Evaluation. DOI 10.1007/s10579-017-9398-3 (July 2017).
Nhung T.H. Nguyen, Axel J. Soto, Georgios Kontonatsios, Riza Batista-Navarro, and Sophia Ananiadou, “Constructing a biodiversity terminological inventory”. PLOS ONE 12(4): e0175277. https://doi.org/10.1371/journal.pone.0175277 (April 2017).
Riza Batista-Navarro, Zerva Chrysoula, Nhung T.H. Nguyen and Sophia Ananiadou, “A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository”, Information Management and Big Data, Springer (March 2017).
Nhung T.H. Nguyen, Georgios Kontonatsios, Axel J. Soto, Riza Batista-Navarro and Sophia Ananiadou, “Enhancing semantic search through the automatic construction of a Biodiversity Terminological Inventory”, TDWG (December 2016).
Piotr Przybyła, Nhung T.H. Nguyen, Matthew Shardlow, Georgios Kontonatsios and Sophia Ananiadou, “NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features”, Proceedings of SemEval-2016, pp. 614–620, San Diego, California (June 2016).
Nhung T.H. Nguyen, Makoto Miwa, Yoshimasa Tsuruoka, and Satoshi Tojo, “Identifying synonymy between relational phrases using word embeddings”, Journal of Biomedical Informatics 56 (2015) 94–102.
Nhung T. H. Nguyen, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama and Satoshi Tojo, “Wide-Coverage Relation Extraction from MEDLINE Using Deep Syntax”, BMC Bioinformatics 2015, 16:107.
Nhung T.H. Nguyen, Vinh Q. Le, Quoc-Minh Nghiem and Dien Dinh, “A General Approach for Word Reordering in English-Vietnamese-English Statistical Machine Translation”, International Journal on Artificial Intelligent Tools, Vol. 24, No. 6 (2015), World Scientific.
Vu C. D. Hoang, Aw Ai Ti and Nhung T.H. Nguyen, “A Rule-Augmented Statistical Phrase-based Translation System”, Proceedings of The 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014): System Demonstrations, pp.73-78 (June 2014).
Nhung T.H. Nguyen, Makoto Miwa, Yoshimasa Tsuruoka and Satoshi Tojo, “Open Information Extraction from Biomedical Literature Using Predicate-Argument Structure Patterns”, Proceedings of The 5th International Symposium on Languages in Biology and Medicine (LBM 2013), pp. 51-55 (December 2013).
Thach V. Bui, Oanh K. Nguyen, Van H. Dang, Nhung T. H. Nguyen and Thuc D. Nguyen, “A Variant of Non-Adaptive Group Testing and Its Application in Pay-Television via Internet”, Proceedings of Information and Communication Technology -International Conference, ICT-EurAsia 2013, pp. 324-330, Lecture Notes in Computer Science, Volume 7804 (January 2013).
Hien M. Vo, Dien Dinh and Nhung T. H. Nguyen, “A Fast Decoder Using Less Memory”, Proceedings of The 4th International Conference on Knowledge and Systems Engineering, pp. 173-180, IEEE (August 2012).
Nhung T. H. Nguyen and Yoshimasa Tsuruoka, “Extracting Bacteria Biotopes with Semi-supervised Named Entity Recognition and Coreference Resolution”, Proceedings of The BioNLP 2011 Workshop Companion Volume for Shared Task, pp. 94-101, Association for Computational Linguistics (June 2011).
Minh Q. Nghiem, Nhung T. H. Nguyen, Dien Dinh, Mai T. N. Nguyen, “A comparison between learning algorithms for Vietnamese noun phrase chunking”, Journal of Science and Technology, Vol 46, ISSN 0866 708X, ICTACS’09, pp.127 – 134 (February 2009).
Nhung T. H. Nguyen and Dien Dinh, “A syntactic-based Word Re-Ordering for English-Vietnamese Statistical Machine Translation”, Lecture Notes in Computer Science, PRICAI 2008: Trends in Artificial Intelligence, pp. 809-818 (December 2008).