Classification of descriptions and summary using multiple passes of statistical and natural language toolkits

Autor:	Banthia, Saumya, Sharma, Anantha
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language I.2.7 I.5.1 I.5.2 I.7.0
Druh dokumentu:	Working Paper
Popis:	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). Comment: 9 pages, 9 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2009.04953 Zobrazit plný text záznamu View this record from Arxiv