EMBEDDIA / event-detection

Event detection module.

Event Detection

DAnIEL (Data Analysis for Information Extraction in any Languages): event-detection-daniel

DAnIEL system implements a string-based algorithm that detects repeated maximal substrings in salient zones to extract important information (disease name, location). The decision of choosing prominent text zones is based on the characteristics of a journalistic writing style where crucial information is usually put at the beginning and end of the article.

https://github.com/rundimeco/daniel

Multilingual event extraction for epidemic detection https://www.sciencedirect.com/science/article/pii/S0933365715000846

Convolutional Neural Network model for event detection: event-detection-pytorch

Neural Methods for Event Extraction https://tel.archives-ouvertes.fr/tel-01943841/document

Event detection as question answering: event-detection-qa

Event Detection as Question Answering with Entity Information https://arxiv.org/pdf/2104.06969.pdf

Event detection with entities: event-detection-entities

http://embeddia.eu/wp-content/uploads/ECIR_2021_Boros-et-al.pdf

Pre-process ACE2005 for entities and qa: ace2005-preprocessing