| Multi-turn response selection using dialogue dependency relations Q Jia, Y Liu, S Ren, KQ Zhu, H Tang arXiv preprint arXiv:2010.01502, 2020 | 30 | 2020 |
| Length control in abstractive summarization by pretraining information selection Y Liu, Q Jia, K Zhu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 13 | 2022 |
| Ddrel: A new dataset for interpersonal relation classification in dyadic dialogues Q Jia, H Huang, KQ Zhu Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 13125 …, 2021 | 12 | 2021 |
| Keyword-aware abstractive summarization by extracting set-level intermediate summaries Y Liu, Q Jia, K Zhu Proceedings of the Web Conference 2021, 3042-3054, 2021 | 11 | 2021 |
| Reference-free summarization evaluation via semantic correlation and compression ratio Y Liu, Q Jia, K Zhu Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 7 | 2022 |
| Post-Training Dialogue Summarization using Pseudo-Paraphrasing Q Jia, Y Liu, H Tang, KQ Zhu Findings of the Association for Computational Linguistics: NAACL 2022, 1660–1669, 2022 | 3 | 2022 |
| Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions Q Jia, Y Liu, S Ren, KQ Zhu ACM Computing Surveys, 2022 | 3 | 2022 |
| Reducing Sensitivity on Speaker Names for Text Generation from Dialogues Q Jia, H Tang, KQ Zhu arXiv preprint arXiv:2305.13833, 2023 | 1 | 2023 |
| Matching questions and answers in dialogues from online forums Q Jia, M Zhang, S Zhang, KQ Zhu arXiv preprint arXiv:2005.09276, 2020 | 1 | 2020 |
| Opinion Summarization by Weak-Supervision from Mix-structured Data Y Liu, Q Jia, K Zhu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | | 2022 |
| In-sample Curriculum Learning by Sequence Completion for Natural Language Generation Q Jia, Y Liu, H Tang, KQ Zhu arXiv preprint arXiv:2211.11297, 2022 | | 2022 |
| Automatic Classification and Comparison of Words by Difficulty S Zhang, Q Jia, L Shen, Y Zhao International Conference on Neural Information Processing, 635-642, 2020 | | 2020 |
Kenny Q. ZhuUniversity of Texas at ArlingtonVahvistettu sähköpostiosoite verkkotunnuksessa uta.edu
