@article{(Open Science Index):https://publications.waset.org/pdf/4889,
	  title     = {PIELG: A Protein Interaction Extraction Systemusing a Link Grammar Parser from Biomedical Abstracts},
	  author    = {Rania A. Abul Seoud and  Nahed H. Solouma and  Abou-Baker M. Youssef and  Yasser M. Kadah},
	  country	= {},
	  institution	= {},
	  abstract     = {Due to the ever growing amount of publications about
protein-protein interactions, information extraction from text is
increasingly recognized as one of crucial technologies in
bioinformatics. This paper presents a Protein Interaction Extraction
System using a Link Grammar Parser from biomedical abstracts
(PIELG). PIELG uses linkage given by the Link Grammar Parser to
start a case based analysis of contents of various syntactic roles as
well as their linguistically significant and meaningful combinations.
The system uses phrasal-prepositional verbs patterns to overcome
preposition combinations problems. The recall and precision are
74.4% and 62.65%, respectively. Experimental evaluations with two
other state-of-the-art extraction systems indicate that PIELG system
achieves better performance. For further evaluation, the system is
augmented with a graphical package (Cytoscape) for extracting
protein interaction information from sequence databases. The result
shows that the performance is remarkably promising.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {1},
	  number    = {5},
	  year      = {2007},
	  pages     = {282 - 292},
	  ee        = {https://publications.waset.org/pdf/4889},
	  url   	= {https://publications.waset.org/vol/5},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 5, 2007},
	}