Class Cardinality Comparison as a Fermi Problem
Author:
Affiliation:
1. Max Planck Institute for Informatics, Germany and Saarland University, Germany
2. Max Planck Institute for Informatics, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3543873.3587334
Reference27 articles.
1. Ricardo Baeza-Yates. 2018. Bias on the web. In Communications of the ACM.
2. Tom Brown 2020. Language models are few-shot learners. In NeurIPS.
3. Common Crawl. 2008. Common crawl dataset. https://commoncrawl.org/.
4. Jesse Dodge 2021. Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. In EMNLP.
5. Yanai Elazar 2019. How Large Are Lions? Inducing Distributions over Quantitative Attributes. In ACL.
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1. CardiO: Predicting Cardinality from Online Sources;Companion Proceedings of the ACM Web Conference 2024;2024-05-13
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