Cognitive Discovery Pipeline Applied to Informal Knowledge

Autor:	Pietro Leo, Nicola Severini, Paolo Bellavista
Rok vydání:	2021
Předmět:	Information extraction Boosting (machine learning) Process (engineering) Multiple forms Computer science Unstructured data Cognition Architecture computer.software_genre Data science Pipeline (software) computer
Zdroj:	Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
Popis:	This paper introduces an information extraction (IE) architecture to process unstructured data that are typically generated within non-formal contexts such as the ones that are exchanged during multiple forms of technical meetings. Information extraction and knowledge management are providing practical value in all kinds of industries and boosting RD a prototype has also been developed capable of showing the peculiarities and the critical points.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::523f6ca4832a04cfde74711931df8cf3 https://doi.org/10.1007/978-3-030-70296-0_90 Zobrazit plný text záznamu