The CREES API is made available as Google Sheets Add-on in order to integrate with typical analysis workflows. The add-on adds three new spreadsheet functions that can be applied to cells and columns.

What is COMRADES CREES?

The COMRADES CREES Service (Crisis Event Extraction Service) provides a rest API (multiple functions) for annotating automatically short text documents (e.g. tweets) by:

  1. Identifying if a document is related to a crisis;
  2. The type of event discussed and,
  3. The type of information present in a document.

The CRESS API is a multilclass CNN classifier that is trained on the CrisisLexT26 data. The model extends Kim Yoon’s Convolutional Neural Networks for Sentence Classification and Denny Britz’s work. The model was published along the Dual-CNN model in the paper: On Semantics and Deep Learning for Event Detection in Crisis Situations.

You can read more about CREES at: https://evhart.github.io/crees/

If you use this code/model please cite the following publications:

Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media Burel, Grégoire; Saif, Hassan and Alani, Harith (2017). Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media. In: The Semantic Web – ISWC 2017. 2017, Vienna, Austria. (http://oro.open.ac.uk/51726/)

On Semantics and Deep Learning for Event Detection in Crisis Situations Burel, Grégoire; Saif, Hassan; Fernandez, Miriam and Alani, Harith (2017). On Semantics and Deep Learning for Event Detection in Crisis Situations. In: Workshop on Semantic Deep Learning (SemDeep), at ESWC 2017, 29 May 2017, Portoroz, Slovenia. (http://oro.open.ac.uk/49639/)

 

This work has received support from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 687847 (COMRADES).


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