Hello! My name is Thang. I am interested in natural language generation, data-to-text generation, knowledge bases, and sentiment analysis.

EDUCATION

2003 – 2008: I graduated from Dalat University with a Bachelor in Information Technology Engineering.

2012 – 2015: I graduated from Shinawatra University with a Master of Science in Information Technology under the guidance of Professor Chutiporn Anutariya.

2019 – 2023: I was awarded a full CONACYT scholarship for the Computer Science Doctoral program at Instituto Politécnico Nacional. Professor Alexander Gelbukh is my advisor.

2021 – July, 2023: I completed my internship at the Singapore University of Technology and Design (SUTD) under the guidance of Professor Soujanya Poria.

PUBLICATION

Ta, H. T. (2024). Self-training from Self-memory in Data-to-text Generation. arXiv preprint arXiv:2401.10567.

Rahman, A.B., Ta, H.T., Najjar, L., Azadmanesh, A.H., & Gonul, A.S. (2024). DepressionEmo: A novel dataset for multilabel classification of depression emotions.

Ta, H. T., Rahman, A. B. S., Majumder, N., Hussain, A., Najjar, L., Howard, N., ... & Gelbukh, A. (2023). WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. Information Fusion, 90, 265-282.
Q1 journal, Information Fusion, Impact Factor 2021: 17.5

Ta, H. T., Gelbukha, A., & Sidorov, G. (2022). Mapping Process for the Task: Wikidata Statements to Text as Wikipedia Sentences. arXiv preprint arXiv:2210.12659.

Ta, T.H., Rahman, A.B.S., Sidorov, G., Gelbukh, A. (2020). Mining Hidden Topics from Newspaper Quotations: The COVID-19 Pandemic. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science(), vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_5

Ta, T. H., & Anutariya, C. (2015). A model for enriching multilingual Wikipedias using infobox and Wikidata property alignment. In Semantic Technology: 4th Joint International Conference, JIST 2014, Chiang Mai, Thailand, November 9-11, 2014. Revised Selected Papers 4 (pp. 335-350). Springer International Publishing.

WORKSHOP

Ta, H. T., Rahman, A. B. S., Najjar, L., & Gelbukh, A. (2022). Transfer Learning from Multilingual DeBERTa for Sexism Identification. In CEUR Workshop Proceedings (Vol. 3202). CEUR-WS.

Ta, H. T., Rahman, A. B. S., Najjar, L., & Gelbukh, A. (2022). GAN-BERT: Adversarial Learning for Detection of Aggressive and Violent Incidents from Social Media. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022), CEUR Workshop Proceedings. CEUR-WS. org.

Ta, H. T., Rahman, A. B. S., Najjar, L., & Gelbukh, A. (2022). Multi-Task Learning for Detection of Aggressive and Violent Incidents from Social Media. In Proceedings of the 2022 Iberian Languages Evaluation Forum, IberLEF.

Rahman, A. B. S., Ta, H. T., Najjar, L., & Gelbukh, A. (2022). Paraphrase identification: Lightweight effective methods based features from pre-trained models. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022).