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Personal profile

Research interests

Joseph Marvin Imperial is a UKRI CDT Doctoral Researcher at the University of Bath's Integrated Ph.D. Program in Accountable, Responsible, and Transparent AI (also called ART-AI). He conducts research in NLP and Machine Learning, particularly in controllable language generation, language assessment, and low-resource language understanding, primarily in the domain of education. He is affiliated with the BathNLP group and is advised by Dr. Harish Tayyar Madabushi and Dr. Gail Forey.

Joseph is a proactive member of the NLP community and has served as a reviewer for top conferences such as NeurIPS, ICLR, EMNLP, and *ACL conferences and workshops—recently winning an Outstanding Reviewer award at ACL 2023. He has also been involved with numerous projects, such as community-led initiatives like the Aya Multilingual Project by Cohere for AI and European Union-funded projects like the MultiplEYE COST for eye-tracking research. 

Outside of Bath, Joseph is affiliated with the Department of Computer Science and the Human Language Technology (HLT) Lab at National University Philippines, but is currently on study leave.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Computer Science, Master in Science, Exploring Hybrid Linguistic Feature Sets for Measuring Filipino Text Readability

Award Date: 5 Jun 2021

Computer Science, Bachelor of Science, Recurrent Neural Networks for Sentiment Analysis of Typhoon Related Tweets

Award Date: 7 Apr 2018

External positions

Senior NLP Researcher, National University

1 Jun 2018 → …

Faculty Member, National University

Jun 2018 → …

Research Fellow, Commission on Higher Education (CHED) - Philippines

1 Feb 201830 May 2018

Keywords

  • Machine Learning
  • Natural Language Processing
  • Education
  • Linguistics
  • Social Media Analytics

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Collaborations and top research areas from the last five years

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  • Diverse Linguistic Features for Assessing Reading Difficulty of Educational Filipino Texts

    Imperial, J. M. & Ong, E., 22 Nov 2021, 29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings. Rodrigo, M. M. T., Iyer, S., Mitrovic, A., Cheng, H. N. H., Kohen-Vacs, D., Matuk, C., Palalas, A., Rajenran, R., Seta, K. & Wang, J. (eds.). Asia-Pacific Society for Computers in Education, p. 51-56 6 p. (29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings; vol. 1).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    2 Citations (SciVal)
  • A Baseline Readability Model for Cebuano

    Antonie Reyes, L. L., Ibañez, M. A., Sapinit, R., Hussien, M. & Imperial, J. M., 2022, BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. Kochmar, E., Burstein, J., Horbach, A., Laarmann-Quante, R., Madnani, N., Tack, A., Yaneva, V., Yuan, Z. & Zesch, T. (eds.). Association for Computational Linguistics (ACL), p. 27-32 6 p. (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

  • NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space

    Imperial, J. M., 31 Dec 2022, CMCL 2022 - Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop. Chersoni, E., Hollenstein, N., Jacobs, C. L., Oseki, Y., Prevot, L. & Santus, E. (eds.). Association for Computational Linguistics (ACL), p. 108-113 6 p. (CMCL 2022 - Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    1 Citation (SciVal)
  • On Applicability of Neural Language Models for Readability Assessment in Filipino

    Ibañez, M., Reyes, L. L. A., Sapinit, R., Hussien, M. A. & Imperial, J. M., 2022, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium - 23rd International Conference, AIED 2022, Proceedings. Rodrigo, M. M., Matsuda, N., Cristea, A. I. & Dimitrova, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 573-576 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13356 LNCS).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    3 Citations (SciVal)
  • Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time

    Imperial, J. M., De La Cruz, A., Malaay, E. & Roxas, R. E., 30 Sept 2022, Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. Yang, X-S., Sherratt, S., Dey, N. & Joshi, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 813-821 9 p. (Lecture Notes in Networks and Systems; vol. 236).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding