NMF Ensembles? Not for Text Summarization!

Autor:	Alka Khurana, Vasudha Bhatnagar
Rok vydání:	2020
Předmět:	Text mining business.industry Computer science Initialization Data mining computer.software_genre Base (topology) business computer Automatic summarization Non-negative matrix factorization Matrix decomposition
Zdroj:	Insights
DOI:	10.18653/v1/2020.insights-1.14
Popis:	Non-negative Matrix Factorization (NMF) has been used for text analytics with promising results. Instability of results arising due to stochastic variations during initialization makes a case for use of ensemble technology. However, our extensive empirical investigation indicates otherwise. In this paper, we establish that ensemble summary for single document using NMF is no better than the best base model summary.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::82517459c424a79db6d5e3b7775da22a https://doi.org/10.18653/v1/2020.insights-1.14 Zobrazit plný text záznamu