Classification of descriptions and summary using multiple passes of statistical and natural language toolkits
September 10, 2020 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Saumya Banthia, Anantha Sharma
arXiv ID
2009.04953
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
This document describes a possible approach that can be used to check the relevance of a summary / definition of an entity with respect to its name. This classifier focuses on the relevancy of an entity's name to its summary / definition, in other words, it is a name relevance check. The percentage score obtained from this approach can be used either on its own or used to supplement scores obtained from other metrics to arrive upon a final classification; at the end of the document, potential improvements have also been outlined. The dataset that this document focuses on achieving an objective score is a list of package names and their respective summaries (sourced from pypi.org).
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