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Class Cardinality Comparison as a Fermi Problem

arXiv 2303.04532 ↗First posted 8 Mar 2023cs.IR cs.AIcited by 1

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Abstract (arXiv)

Questions on class cardinality comparisons are quite tricky to answer and come with its own challenges. They require some kind of reasoning since web documents and knowledge bases, indispensable sources of information, rarely store direct answers to questions, such as, ``Are there more astronauts or Physics Nobel Laureates?'' We tackle questions on class cardinality comparison by tapping into three sources for absolute cardinalities as well as the cardinalities of orthogonal subgroups of the classes. We propose novel techniques for aggregating signals with partial coverage for more reliable estimates and evaluate them on a dataset of 4005 class pairs, achieving an accuracy of 83.7%.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 28 references that are in the map. First posted on arXiv 8 Mar 2023.

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13 of 28 references.

References · 13

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
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  4. 2019Language Models as Knowledge Bases?cited by 1,922
  5. 2019How Can We Know What Language Models Know?cited by 953
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  7. 2020Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Modelscited by 110
  8. 2020Machine Knowledge: Creation and Curation of Comprehensive Knowledge Basescited by 55
  9. 2021Men Are Elected, Women Are Married: Events Gender Bias on Wikipediacited by 30
  10. 2019How Large Are Lions? Inducing Distributions over Quantitative Attributescited by 26
  11. 2019Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs -- The Case of Wikidatacited by 5
  12. 2022Answering Count Queries with Explanatory Evidencecited by 1
1 more
  1. 2022Answering Count Questions with Structured Answers from Textcited by 1

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