Work

Using Semantic Fluency Models Improves Network Reconstruction Accuracy of Tacit Engineering Knowledge

Year: 2019

Type: conference-paper

Source: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE)

DOI: 10.1115/detc2019-98429

Authors: Thurston Sexton, Mark Fuge

Institutions: National Institute of Standards and Technology, University of Maryland, College Park

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2972592711

FWCI: 0.191

Cites: 37

Cited by: 5

Related to: 10