Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research. We review the most …
AF Santana, MA Gonçalves… - Journal of the …, 2017 - Wiley Online Library
The vast majority of the current author name disambiguation solutions are designed to disambiguate a whole digital library (DL) at once considering the entire repository. However …
We present a novel 3‐step self‐training method for author name disambiguation—SAND (self‐training associative name disambiguator)—which requires no manual labeling, no …
To train algorithms for supervised author name disambiguation, many studies have relied on hand-labeled truth data that are very laborious to generate. This paper shows that labeled …
This book deals with a hard problem that is inherent to human language: ambiguity. In particular, we focus on author name ambiguity, a type of ambiguity that exists in digital …
A identificação correta dos autores é fator crítico em estudos de Análise de Redes Sociais (ARS) que envolvem redes de coautoria. O objetivo do trabalho é apresentar as diferenças …
Corpora used to learn open-domain Question-Answering (QA) models are typically collected from a wide variety of topics or domains. Since QA requires understanding natural language …
In this paper we introduce an automatic system to perform authority control in digital libraries based on data mining techniques. This system is able to find the different representations for …
Author name ambiguity is a hard problem that occurs when several authors publish articles with the same name or when a same author publishes their articles under different names …