Publications

- Zhao, J., Tu, J., Du, H., and Xue, N. Media Attitude Detection via Framing Analysis with Events and their Relations. In Proceedings of the EMNLP 2024.

- Tu, J., Xu, K., Yue, L., et al. Linguistically Conditioned Semantic Textual Similarity. In Proceedings of the ACL 2024.

- Khebour, I., Lai, K., …, Tu, J., et al. Common Ground Tracking in Multimodal Dialogue. In Proceedings of the LREC-COLING 2024.

- Tu, J., Obiso, T., et al. GLAMR: Augmenting AMR with GL-VerbNet Event Structure. In Proceedings of the LREC-COLING 2024.

- Obiso, T., Tu, J., and Pustejovsky, J. HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition. In Proceedings of the SemEval 2024.

-Ye, B., Tu, J., Rim, K., and Pustejovsky, J. Scalar Anaphora: Annotating Degrees of Coreference in Text. Proceedings of The Sixth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2023).

- Rim, K.^*, Tu, J.^*, Ye, B., Verhagen, M., Holderness, E, and Pustejovsky, J. The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models. In Proceedings of the Findings of ACL 2023. (*equal contribution)

- Tu, J.^*, Rim, K.^*, Holderness, E, Ye, B., and Pustejovsky, J. Dense Paraphrasing for Textual Enrichment. In Proceedings of the IWCS 2023. (*equal contribution)

- Tu, J., Rim, K., and Pustejovsky, J. Competence-based Question Generation. In Proceedings of the COLING 2022.

-Ye, B.^*, Tu, J.^*, Jezek, E., and Pustejovsky, J. Interpreting Logical Metonymy through Dense Paraphrasing. In Proceedings of the Annual Meeting of the Cognitive Science Society, 44 (CogSci 2022). (*equal contribution)

- Ide, N., Suderman, K, Tu, J. et al. Evaluating Retrieval for Multi-domain Scientific Publications. In Proceedings of the LREC 2022.

- Tu, J., Holderness, E, Maru, M, Conia, S, Rim, K, Lynch, K, Brutti, R, Navigli, R, and Pustejovsky, J. 2022. SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering. In Proceedings of the SemEval-2022. Association for Computational Linguistics. (honorable mention best task paper)

- Tu, J., Verhagen, M., Cochran, B.H., and Pustejovsky, J. Exploration and Discovery of the COVID-19 Literature through Semantic Visualization. In Proceedings of the NAACL-HLT 2021 SRW.

- Tu, J. and Lignos, C. TMR: Evaluating NER Recall on Tough Mentions. In Proceedings of the Student Research Workshop at the EACL 2021.

- Wang, Q., Li, M., Wang, X., …, Tu, J. et al. (2020). COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. Proceedings of NAACL-HLT 2021: Demonstrations.

- Qu, X., Liukasemsarn S., Tu, J., Higgins, A., Hickey, T. and Hall, M. Identifying Clinically And Functionally Distinct Groups Among Healthy Controls And First Episode Psychosis Patients By Clustering On EEG Patterns. Frontiers in Psychiatry Neuroimaging and Stimulation.

- Rim, K., Tu, J., Lynch, K. and Pustejovsky, J. Reproducing Neural Ensemble Classifier for Semantic Relation Extraction in Scientific Papers. In Proceedings of the LREC 2020.