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Derry Wijaya

Associate Professor and Program Coordinator, Data Science

Accepting PhD students

Dr. Derry Wijaya conducts research in natural language processing (NLP), with a focus on machine learning, deep learning, and large language models (LLMs) applications in multilingual NLP. Her studies include machine translation (MT), which demonstrates how to leverage well-annotated languages to improve the translation of less-annotated ones and how images, related tasks, data augmentation, and LLMs can be used to improve the representation and translation of languages with little training data.

Derry also studies methods for automatically learning the meanings of verbs and extracting information for knowledge base population through analysis of diverse information sources. Through interdisciplinary collaborations, Derry has conducted research on the applications of NLP to computational news framing and public health, in detecting and analysing how articles in traditional and emerging media on various public affairs or public health issues are written and framed.

Derry has also conducted research on analysing bias and misinformation, within AI models and in public communications. Derry has a postdoc from University of Pennsylvania and a PhD from Carnegie Mellon University. She received her Bachelor and Master’s degrees in Computer Science from the National University of Singapore.

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. A. F. Akyürek, E. Akyürek, A. Madaan, A. Kalyan, P. Clark, Derry Wijaya, N. Tandon, In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Agenda Setting, Cross-cutting Effects, and Political Expression on Social Media: The Gun Violence Case. L. Guo, Y. Zhang, K. Mays, A. F. Akyürek, Derry Wijaya, and M. Betke. In Communication Research, 2023.
Compliance With the US Food and Drug Administration’s Guidelines for Health Warning Labels and Engagement in Little Cigar and Cigarillo Content: Computer Vision Analysis of Instagram Posts. J. Wu, J. M. Origgi, L. R. Ranker, A. Bhatnagar, R. M. Robertson, Z. Xuan, Derry Wijaya, T. Hong, J. L. Fetterman. In Journal of Medical Internet Research (JMIR) infodemiology, 2023.
Prediction of People’s Emotional Response towards Multi-modal News. G. Gao, S. Paik, C. Reardon, Y. Zhao, L. Guo, P. Ishwar, M. Betke, and Derry Wijaya. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), 2022.
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations. Z. Tang, M. Y. Kocyigit, and Derry Wijaya. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), 2022.
Community Detection of the Framing Element Network: Proposing and Assessing a New Computational Framing Analysis Approach. Y Jiang, S Lai, Lei Guo, Prakash Ishwar, Derry Wijaya, Margrit Betke. In 105th Annual Conference of the Association for Education in Journalism and Mass Communication (AEJMC), 2022.
Challenges in Measuring Bias via Open-Ended Language Generation. A. F. Akyürek, M. Y. Kocyigit, S. Paik, and Derry Wijaya. In Gender Bias in NLP Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
On Measuring Social Biases in Prompt-Based Learning. A. F. Akyürek, S. Paik, M. Y. Kocyigit, S. Akbiyik, Ş. L. Runyun, and Derry Wijaya. In Findings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
Quality Estimation for Corpus Mining. M. Y. Kocyigit, J. Lee and Derry Wijaya. In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
The Impact of Influencers on Cigar Promotions: A Content Analysis of Large Cigar and Swisher Sweets Videos on TikTok. J. Wu, A.F. Harlow, Derry Wijaya, M. Berman, E.J. Benjamin, Z. Xuan, T. Hong and J.L. Fetterman. In International Journal of Environmental Research and Public Health 19.12, 2022:7064.
An Unsupervised Approach to Discover Media Frames. S. Lai, Y. Jiang, L. Guo, M. Betke, P. Ishwar, and Derry Wijaya. In Proceedings of The Conference on Language Resources and Evaluation (LREC) 2022 workshop on Natural Language Processing for Political Sciences, 2022.
NEmo: an Affective Dataset of Gun Violence News. C. Reardon, S. Paik, G. Gao, M. Parekh, Y. Zhao, L. Guo, M. Betke and Derry Wijaya. In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), 2022.
Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show. A. Andy, R. Kriz, S. C. Guntuku, Derry Wijaya, and C. Callison-Burch. In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), 2022.
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach. H. Le, T. Daryanto, F. Zhafransyah, L. Coppock, S. Chin and Derry Wijaya. In Proceedings of 3rd International Conference on Data Mining and Machine Learning (DMML 2022).
Subspace Regularizers for Few-Shot Class Incremental Learning. A. F. Akyürek, E. Akyürek, Derry Wijaya and J. Andreas. In Proceedings of The International Conference on Learning Representations (ICLR), 2022.
Proposing an Open-Sourced Tool for Computational Framing Analysis of Multilingual Data. L. Guo, C. Su, S. Paik, V. Bhatia, V. P. Akavoor, G. Gao, M. Betke, Derry Wijaya. In Digital Journalism, 2022.

Teaching

Introduction to Data Science (T4)
Data Analysis for Semi Structured Data (T4)
Data Wrangling (T1)
Machine Learning (T2)

Research

Natural Language Processing
Machine Learning
Deep Learning
Large Language Models (LLMs)
Machine Translation
Computational Framing Analysis
Bias and Fairness in AI
AI for Social Good

Exploring the Use of Generative AI for Moderating Online Polarisation (PI), Monash Data Futures Institute, Amount: AUD $49,500 (2023-2024)
Inclusive Language Technologies: Data Curation and Large Pretrained Language Models (PI), Monash University FIT, Action Lab, Amount: AUD $33k (2023-2024)
Social Media Analysis of Misinformation and Vaccine Hesitancy in Three Middle-Income Countries (Co-PI), Center for Emerging Infectious
Diseases Policy & Research (CEID), Boston University, Amount: USD $25k (2022-2023)
Exploring the evolution of racial biases over time through framing analysis (PI), Google Research Scholar Award, Amount: USD $60k (2021-2022)
Explore CS Research ( Research Workshop for Female Undergraduates) (PI), Google, Amount: USD $18k (2020)
LEARN : Label-Eﬀicient Active Resilient Network (Co-PI), DARPA Learning with Less Labels (LwLL), DARPA, Amount: USD $462k (2019–2022)
Semi-supervised Learning of Multimodal Representations (Co-PI), DARPA Active Interpretation of Disparate Alternatives (AIDA), Amount: USD $200k (2019–2020)
Bridging Linguistic and Visual Knowledge through Visual Genome (PI), BU Hariri Institute Research Incubation Award, Amount: USD $28k (2019–2020)
BIGDATA: IA: Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages (Co-PI), NSF, Amount: USD $1m (2018–2022)

Derry Tanti, Srikandi Malang Kembangkan OpenFraming AI, Radar Malang, Jawa Pos, 03/23
The Girl from Malang, Machine Learning, and Language Processing, Tempo Magazine, 04/21
Inspiring Women Researchers, Tempo Magazine, 04/21
Building Computer Programs for Human Language Understanding, Voice of America, 09/2021
Improving AI Technology to Understand Colloquialisms, BU HIC, 09/2021
Realistic machine translation of Gujarati, Somali, & Kazakh, BU HIC, 04/2021
Comparing How Media around the World Frames Coronavirus News, The Brink,
AI used to find unsafe foods using consumer product reviews, News Medical,
The Search for the Universal Translator, Penn Tech Review, Prateek Agarwal, 09/2017
Derry Wijaya, Indonesian Student and Fulbright Fellow, Voice of America, 07/2013
Aiming to Learn as We Do, a Machine Teaches Itself, The New York Times, Steve Lohr, 10/2010.

Best Data Researcher 2021, Data Science Indonesia Award
Google Research Scholar Award 2021
Google Explore CS Research Award 2020
Google Anita Borg Scholarship 2013
International Science and Technology Fellowship, Fulbright 2010-2013

Monash University, Indonesia