Interpreting embedding models of knowledge bases.

Interpreting embedding models of knowledge bases.

Knowledge bases are employed in a variety of applications, from natural language processing to semantic web search; alas, in practice, their usefulness is hurt by their incompleteness. To address this issue, several techniques aim at performing knowledge base completion, of which embedding models ar...

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Bibliographic Details
Main Author: Gusmão, Arthur Colombini
Other Authors: Cozman, Fabio Gagliardi
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2018
Subjects:
Aprendizado computacional
Conhecimento
Embedding models
Explainable AI
IA explicável
Interpretabilidade
Interpretability
Knowledge bases
Knowledge graphs
Modelos de incorporação
Relational machine learning
Online Access:http://www.teses.usp.br/teses/disponiveis/3/3141/tde-04022019-094854/

Internet

http://www.teses.usp.br/teses/disponiveis/3/3141/tde-04022019-094854/

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