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Dive into the research topics where Danqi Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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Building Next-Generation Language Models based on Retrieval
NSF - National Science Foundation
2/15/23 → 1/31/28
Project: Research project
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Can Rationalization Improve Robustness?
Chen, H., He, J., Narasimhan, K. & Chen, D., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3792-3805 14 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
A Frustratingly Easy Approach for Entity and Relation Extraction
Zhong, Z. & Chen, D., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 50-61 12 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
114 Scopus citations -
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zhong, Z., Friedman, D. & Chen, D., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 5017-5033 17 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
72 Scopus citations -
Learning dense representations of phrases at scale
Lee, J., Sung, M., Kang, J. & Chen, D., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 6634-6647 14 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
32 Scopus citations -
Making pre-trained language models better few-shot learners
Gao, T., Fisch, A. & Chen, D., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3816-3830 15 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
237 Scopus citations