Cheung, Jackie Chi Kit

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Wu, J., Cao, M., Cheung, J. C. K., & Hamilton, W. L. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Advanced Graph Neural NetworksTopic Modeling

Cited by 167

Factual Error Correction for Abstractive Summarization Models

Cao, M., Dong, Y., Wu, J., & Cheung, J. C. K. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 132

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

Cao, M., Dong, Y., & Cheung, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 87

How Useful Are Educational Questions Generated by Large Language Models?

Elkins, S., Kochmar, E., Serban, I., & Cheung, J. C. K. (2023) · Communications in Computer and Information Science

Artificial Intelligence in EducationTopic Modeling

Cited by 46

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

Cao, M., Dong, Y., & Cheung, J. C. K. (2021) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 16

The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution

Altakrori, M., Cheung, J. C. K., & Fung, B. C. M. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 11

On-the-Fly Attention Modulation for Neural Generation

Dong, Y., Bhagavatula, C., Lu, X., Hwang, J. D., Bosselut, A., Cheung, J. C. K., & Choi, Y. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingNatural Language Processing Techniques

Cited by 10