Zhaochun Ren
Associate professor
- Name
- Dr. Z. Ren
- Telephone
- +31 71 527 2727
- z.ren@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-9076-6565
My research interests lie in natural language processing and information retrieval, with an emphasis on conversational artificial intelligence, recommender systems, and social media analysis
See also
Associate professor
- Science
- 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. (Eds.), Findings of the Association for Computational Linguistics ACL 2024. CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems 11 August 2024 - 16 August 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 October 2023 - 25 October 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. (Eds.), 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. (Eds.), 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. (Eds.), 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. (Eds.), 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. (Eds.), 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. (Eds.), 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. (Eds.), 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. [conference paper].