Crowdsourced corpus with entity salience annotations

Abstract:

In this paper, we present a crowdsourced dataset which adds entity salience (importance) annotations to the Reuters-128 dataset, which is subset of Reuters-21578. The dataset is distributed under a free license and publish in the NLP Interchange Format, which fosters interoperability and re-use. We show the potential of the dataset on the task of learning an entity salience classifier and report on the results from several experiments.

Año de publicación:

2016

Keywords:

• Named entities
• Entity importance
• text analysis
• Entity salience
• Document aboutness

Fuente:

scopus