Research output per year
Research output per year
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Close Look into the Calibration of Pre-trained Language Models
Chen, Y., Yuan, L., Cui, G., Liu, Z. & Ji, H., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 1343-1367 25 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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ADEPT: A DEbiasing PrompT Framework
Yang, K., Yu, C., Fung, Y. R., Li, M. & Ji, H., Jun 27 2023, AAAI-23 Technical Tracks 9. Williams, B., Chen, Y. & Neville, J. (eds.). American Association for Artificial Intelligence (AAAI) Press, p. 10780-10788 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction
Yu, P., May, J. & Ji, H., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. Association for Computational Linguistics (ACL), p. 742-757 16 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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CODE4STRUCT: Code Generation for Few-Shot Event Structure Prediction
Wang, X., Li, S. & Ji, H., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 3640-3663 24 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation
Ren, L., Sidhu, M., Zeng, Q., Reddy, R. G., Ji, H. & Zhai, C. X., 2023, DialDoc 2023 - Proceedings of the 3rd DialDoc Workshop on Document-Grounded Dialogue and Conversational Question Answering, Proceedings of the Workshop. Muresan, S., Chen, V., Kennington, C., Vandyke, D., Dethlefs, N., Inoue, K., Ekstedt, E. & Ultes, S. (eds.). Association for Computational Linguistics (ACL), p. 80-85 6 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution