Papers with similarity analysis
string2string: A Modern Python Library for String-to-String Algorithms (2024.acl-demos)
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| Challenge: | Notable algorithms include the Smith-Waterman algorithm for pairwise local alignment, the Hirschberg algorithm for global alignment, and the Wagner-Fischer algorithm for edit distance. |
| Approach: | **string2string** is an open-source library that offers efficient algorithms for string-to-string problems. |
| Outcome: | **string2string** is an open-source library that offers efficient algorithms for string-to-string problems. |
Similarity Analysis of Contextual Word Representation Models (2020.acl-main)
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| Challenge: | Existing and novel similarity measures are used to analyze contextual word representations . different architectures have rather similar representations, but different individual neurons. |
| Approach: | They propose a method to analyze contextual word representation models using similarity analysis. |
| Outcome: | The proposed approach can be used to analyze model similarity without external annotations. |