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 protein-protein interactions (DIPPPI). The system reports an F-Measure of 0.55 on test MEDLINE abstracts.
| Original language | English |
|---|---|
| Pages | 89-96 |
| Number of pages | 8 |
| Publication status | Published - 1 Jan 2007 |
| Event | ACL 2007 Workshop on Biological, Translational, and Clinical Language Processing, BioNLP 2007 - Prague, Czech Republic Duration: 29 Jun 2007 → … |
Other
| Other | ACL 2007 Workshop on Biological, Translational, and Clinical Language Processing, BioNLP 2007 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 29/6/07 → … |
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ASJC Scopus subject areas
- Language and Linguistics
- Information Systems
- Software
- Health Informatics
- Computer Science Applications
- Biomedical Engineering
Cite this
Madkour, A., Darwish, K., Hassan, H., Hassan, A., & Emam, O. (2007). BioNoculars: Extracting protein-protein interactions from biomedical text. 89-96. Paper presented at ACL 2007 Workshop on Biological, Translational, and Clinical Language Processing, BioNLP 2007, Prague, Czech Republic.