Université de Fribourg

Distant supervision from knowledge graphs

Smirnova, Alisa ; Audiffren, Julien ; Cudré-Mauroux, Philippe

In: Encyclopedia of Big Data Technologies, 2018, p. 1–7

In this chapter, we discuss approaches leveraging distant supervision for relation extraction. We start by introducing the key ideas behind distant supervision as well as their main shortcomings. We then discuss approaches that improve over the basic method, including approaches based on the at-least-one-principle along with their extensions for handling false negative labels, and approaches...

Université de Fribourg

Relation extraction using distant supervision: a survey

Smirnova, Alisa ; Cudré-Mauroux, Philippe

In: ACM Comput. Surv., 2018, vol. 51, no. 5, p. 106:1–106:35

Relation extraction is a subtask of information extraction where semantic relationships are extracted from natural language text and then classified. In essence, it allows us to acquire structured knowledge from unstructured text. In this article, we present a survey of relation extraction methods that leverage pre-existing structured or semi- structured data to guide the extraction process....