natural-language-processing-4
Textual Analogy Parsing
3260 papers • 126 benchmarks • 313 datasets
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 )
(Image credit: Papersgraph)
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Most implemented papers
Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes
Dafna Shahaf, Oren Sultan•Thu Oct 20 2022
An interpretable, scalable algorithm is developed that can extract analogies from a large dataset of procedural texts, achieving 79% precision, and it is demonstrated that the algorithm is robust to paraphrasing the input texts.
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