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"Causal Matching with Text Embeddings: A Case Study in Estimating the ..."

Raymond Zhang et al. (2023)

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DOI: 10.18653/V1/2023.FINDINGS-ACL.83

access: open

type: Conference or Workshop Paper

metadata version: 2024-02-14

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  dblp key:
  - conf/acl/ZhangKSMMK23
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Raymond Zhang, Neha Nayak Kennard, Daniel Scott Smith, Daniel A. McFarland, Andrew McCallum, Katherine Keith:
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies. ACL (Findings) 2023: 1284-1297

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