Multilingual event extraction for epidemic detection

作者：

Highlights：

• We present DANIEL, a multilingual system for tele-epidemiology.

• Classical approaches use language-dependent resources, which limits coverage.

• Our system uses very few resources and performs consistently on any language.

• It has therefore worldwide coverage and better reactivity than the state-of-the-art.

• Readily dealing with any language implies faster epidemic detection.

摘要

Highlights•We present DANIEL, a multilingual system for tele-epidemiology.•Classical approaches use language-dependent resources, which limits coverage.•Our system uses very few resources and performs consistently on any language.•It has therefore worldwide coverage and better reactivity than the state-of-the-art.•Readily dealing with any language implies faster epidemic detection.

论文关键词：Early event detection,Poorly endowed languages,Multilingual information access,Tele-epidemiology,Epidemic surveillance

论文评审过程：Available online 17 July 2015, Version of Record 19 October 2015.

论文官网地址：https://doi.org/10.1016/j.artmed.2015.06.005