@inproceedings{madkour2007bionoculars,
author = {Madkour, Amgad and Darwish, Kareem and Hassan Awadalla, Hany and Awadallah, Ahmed and Emam, Ossama},
title = {BioNoculars: Extracting Protein-Protein Interactions from Biomedical Text},
booktitle = {BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing},
year = {2007},
month = {June},
abstract = {The vast number of published medical documents is considered a vital source for relationship discovery. This paper presents a statistical unsupervised system, called BioNoculars, for extracting protein-protein interactions from biomedical text. BioNoculars uses graph-based mutual reinforcement to make use of redundancy in data to construct extraction patterns in a domain independent fashion. The system was tested using MEDLINE abstract for which the protein-protein interactions that they contain are listed in the database of interacting proteins and proteinprotein interactions (DIPPPI). The system reports an F-Measure of 0.55 on test MEDLINE abstracts.},
url = {http://approjects.co.za/?big=en-us/research/publication/bionoculars-extracting-protein-protein-interactions-biomedical-text/},
pages = {89-96},
edition = {BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing},
}