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Textual Analogy Parsing
2 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Textual Analogy Parsing (TAP) is the task of identifying analogy frames from text.
( Image credit: Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
2 shown of 2 papers with code (2 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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21 Oct 2022 2 repositories listedAnalogy-making gives rise to reasoning, abstraction, flexible categorization and counterfactual inference -- abilities lacking in even the best AI systems today.
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7 Sep 2018 2 repositories listedTo understand a sentence like "whereas only 10% of White Americans live at or below the poverty line, 28% of African Americans do" it is important not only to identify individual facts, e.
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