| DEGREE: A Data-Efficient Generation-Based Event Extraction Model IH Hsu*, KH Huang*, E Boschee, S Miller, P Natarajan, KW Chang, ... NAACL 2022, 2022 | 208* | 2022 |
| Deep structured neural network for event temporal relation extraction R Han*, IH Hsu*, M Yang, A Galstyan, R Weischedel, N Peng Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 70 | 2019 |
| Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction KH Huang*, IH Hsu*, P Natarajan, KW Chang, N Peng ACL 2022, 2022 | 61 | 2022 |
| Summarization as Indirect Supervision for Relation Extraction K Lu, IH Hsu, W Zhou, MD Ma, M Chen EMNLP-Findings 2022, 2022 | 51 | 2022 |
| ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations R Han, IH Hsu, J Sun, J Baylon, Q Ning, D Roth, N Peng Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 46* | 2021 |
| AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model IH Hsu, Z Xie, KH Huang, P Natarajan, N Peng ACL 2023, 2023 | 34 | 2023 |
| TEXTEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction KH Huang, IH Hsu, T Parekh, Z Xie, Z Zhang, P Natarajan, KW Chang, ... ACL-findings 2024, 2023 | 23* | 2023 |
| GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles T Parekh, IH Hsu, KH Huang, KW Chang, N Peng ACL 2023, 2023 | 23 | 2023 |
| Mitigating the impact of speech recognition errors on chatbot using sequence-to-sequence model PJ Chen*, IH Hsu*, YY Huang*, HY Lee ASRU 2017, 2017 | 20 | 2017 |
| Multi-hop Evidence Retrieval for Cross-document Relation Extraction K Lu, IH Hsu, W Zhou, MD Ma, M Chen ACL-Findings 2023, 2023 | 15 | 2023 |
| TAGPRIME: A Unified Framework for Relational Structure Extraction IH Hsu*, KH Huang*, S Zhang, W Cheng, P Natarajan, KW Chang, ... ACL 2023, 2023 | 13* | 2023 |
| Discourse-level Relation Extraction via Graph Pooling IH Hsu, X Guo, P Natarajan, N Peng DLG-AAAI 2022, 2022 | 13* | 2022 |
| ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation KH Huang, V Iyer, IH Hsu, A Kumar, KW Chang, A Galstyan ACL 2023, 2023 | 12 | 2023 |
| NIESR: Nuisance Invariant End-to-end Speech Recognition IH Hsu, A Jaiswal, P Natarajan In Proceedings of INTERSPEECH 2019, 2019 | 7 | 2019 |
| Contextual Label Projection for Cross-Lingual Structure Prediction T Parekh, IH Hsu, KH Huang, KW Chang, N Peng NAACL 2024, 2024 | 6* | 2024 |
| Code-Switched Text Synthesis in Unseen Language Pairs IH Hsu, A Ray, S Garg, N Peng, J Huang ACL-Findings 2023, 2023 | 2 | 2023 |
| FIG: Forward-Inverse Generation for Low-Resource Domain-specific Event Detection T Parekh, Y Dong, L Bandarkar, A Kim, IH Hsu, KW Chang, N Peng arXiv preprint arXiv:2502.17394, 2025 | | 2025 |
| CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation IH Hsu, Z Wang, LT Le, L Miculicich, N Peng, CY Lee, T Pfister ACL-findings 2024, 2024 | | 2024 |
| Argument-Aware Approach To Event Linking IH Hsu, Z Xue, N Pochh, S Bansal, P Natarajan, J Srinivasa, N Peng ACL-findings 2024, 2024 | | 2024 |
| Towards Generalized Event Understanding in Text via Generative Models IH Hsu University of Southern California, 2024 | | 2024 |
Nanyun (Violet) PengAssociate Professor, UCLAZweryfikowany adres z cs.ucla.edu