Zhaochun Ren
Universitair hoofddocent
- Naam
- Dr. Z. Ren
- Telefoon
- +31 71 527 2727
- z.ren@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-9076-6565
Mijn onderzoeksinteresses liggen op het gebied van natuurlijke taalverwerking en het achterhalen van informatie, met de nadruk op conversationele kunstmatige intelligentie, aanbevelingssystemen en analyse van sociale media.
Zie ook
Universitair hoofddocent
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- Abolghasemi M.A., Ren Z., Askari A., Aliannejadi M., Rijke M. & Verberne S. (2024), CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. Ku L.W., Martins A. & Srikumar V. (red.), Findings of the Association for Computational Linguistics ACL 2024. CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems 11 augustus 2024 - 16 augustus 2024: Association for Computational Linguistics. 14623–14635.
- Wang Z., Zhao K., He Y., Chen Z., Ren P., Rijke M. de & Ren Z. (2023), Iteratively learning representations for unseen entities with inter-rule correlations, CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. The 32nd ACM International Conference on Information and Knowledge Management 21 oktober 2023 - 25 oktober 2023. New York, U.S.A.: Association for Computing Machinery. 2534–2543.
- Lyu Y., Hao J., Wang Z., Zhao K., Gao S., Ren P., Chen Z., Wang F. & Ren Z. (2023), Multi-defendant legal judgment prediction via hierarchical reasoning. Bouamor H., Pino J. & Bali K. (red.), Findings of the association for computational linguistics: EMNLP 2023. 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 13997–14009.
- Wang Z., Zhao Z., Chen Z., Ren P., Rijke M. de & Ren Z. (2023), Generalizing few-shot named entity recognizers to unseen domains with type-related features. Bouamor H., Pino J. & Bali K. (red.), Findings of the association for computational linguistics: EMNLP 2023. The 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 13997–14009.
- Yang Z., Ren Z., Yufeng W., Zhu X., Chen Z., Cai T., Wu Y., Su Y., Ju S. & Liao X. (2023), Exploiting emotion-semantic correlations for empathetic response generation. Bouamor H., Pino J. & Bali K. (red.), Findings of the Association for Computational Linguistics: EMNLP 2023. The 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 13997–14009.
- Shi Z., Gao S., Zhang Z., Chen X., Chen Z., Ren P. & Ren Z. (2023), Towards a unified framework for reference retrieval and related work generation. Bouamor H., Pino J. & Bali K. (red.), Findings of the association for computational linguistics: EMNLP 2023. The 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 13997–14009.
- Deng W., Pei J., Kong K., Chen Z., Wei F., Li Y., Ren Z., Chen Z. & Ren P. (2023), Syllogistic reasoning for legal judgment analysis. Bouamor H., Pino J. & Bali K. (red.), Proceedings of the 2023 conference on empirical methods in natural language processing. The 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 13997–14009.
- Sun W., Yan L., Ma X., Ren P., Yin D. & Ren Z. (2023), Is ChatGPT good at search? : Investigating large language models as re-ranking agents. Bouamor H., Pino J. & Bali K. (red.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. The 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 14918–14937.
- Zhao Y., Yan L., Sun W., Meng C., Wang S., Cheng Z., Ren Z. & Yin D. (2023), DiQAD: a benchmark dataset for open-domain dialogue quality assessment. Bouamor H., Pino J. & Bali K. (red.), Findings of the Association for Computational Linguistics: EMNLP 2023. The 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 15128–15145.
- Sun W., Yan L., Chen Z., Wang S., Zhu H., Ren P., Chen Z., Yin D., Rijke M. de & Ren Z. (2023), Learning to Tokenize for generative retrieval. [congress paper].