Li, Junyi Jessy

A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature

Nye, B., Li, J. J., Patel, R., Yang, Y., Marshall, I., Nenkova, A., & Wallace, B. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Biomedical Text Mining and OntologiesMeta-analysis and systematic reviews

Cited by 224

News Summarization and Evaluation in the Era of GPT-3

Goyal, T., Li, J. J., & Durrett, G. (2022) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 175

Paragraph-level Simplification of Medical Texts

Devaraj, A., Marshall, I., Wallace, B., & Li, J. J. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Text Readability and SimplificationTopic Modeling

Cited by 79

Evaluating Factuality in Text Simplification

Devaraj, A., Sheffield, W., Wallace, B., & Li, J. J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Text Readability and SimplificationTopic Modeling

Cited by 40

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence

Joseph, S., Chen, L., Trienes, J., Göke, H., Coers, M., Xu, W., Wallace, B., & Li, J. J. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Biomedical Text Mining and OntologiesText Readability and Simplification

Cited by 17

Political Ideology and Polarization: A Multi-dimensional Approach

Sinno, B., Oviedo, B., Atwell, K., Alikhani, M., & Li, J. J. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods

Cited by 12

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis

Desai, S., Sinno, B., Rosenfeld, A., & Li, J. J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10

Detection and Measurement of Syntactic Templates in Generated Text

Shaib, C., Elazar, Y., Li, J. J., & Wallace, B. C. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Using Natural Language Explanations to Rescale Human Judgments

Wadhwa, M., Chen, J., Li, J. J., & Durrett, G. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code

Panthaplackel, S., Li, J. J., Gligoric, M., & Mooney, R. J. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Software Engineering ResearchTopic Modeling

Cited by 2

QUDsim: Quantifying Discourse Similarities in LLM-Generated Text

Namuduri, R., Wu, Y., Zheng, A. A., Wadhwa, M., Durrett, G., & Li, J. J. (2025) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 0