Manica Matteo
Mathis Roland
Cadow Joris
Rodriguez Martinez Maria
2019-08-22
<p>INtERAcT is a method to extract interaction networks from unstructured text.<br>
• Fully unsupervised<br>
• no need for heavy manual curation<br>
• no need for a language model<br>
• no annotations<br>
• Context-specific networks</p>
https://doi.org/10.5281/zenodo.3374335
oai:zenodo.org:3374335
Zenodo
https://zenodo.org/communities/ipc
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3374334
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ISMB/ECCB 2019, 27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology, Basel, Switzerland, 21-25 July 2019
deep learning
Inferring context specific PPI networks using unsupervised deep learning for text mining
info:eu-repo/semantics/conferencePoster