Name
Title | ||
|---|---|---|
Effect of utilizing terminology on extraction of protein-protein interaction information from biomedical literature |
Abstract | ||
|---|---|---|
As the amount of on-line scientific literature in the biomedical domain increases, automatic processing has become a promising approach for accelerating research. We are applying syntactic parsing trained on the general domain to identify protein-protein interactions. One of the main difficulties obstructing the use of language processing is the prevalence of specialized terminology. Accordingly, we have created a specialized dictionary by compiling on-line glossaries, and have applied it for information extraction. We conducted preliminary experiments on one hundred sentences, and compared the extraction performance when (a) using only a general dictionary and (b) using this plus our specialized dictionary. Contrary to our expectation, using only the general dictionary resulted in better performance (recall 93.0%, precision 91.0%) than with the terminology-based approach (recall 92.9%, precision 89.6%). |
Year | DOI | Venue |
|---|---|---|
2003 | 10.3115/1067737.1067760 | EACL |
Keywords | Field | DocType |
specialized dictionary,general dictionary,biomedical domain increase,general domain,specialized terminology,protein-protein interaction information,automatic processing,biomedical literature,extraction performance,utilizing terminology,better performance,language processing,information extraction,protein protein interaction | Scientific literature,Syntactic parsing,Terminology,Computer science,Specialized dictionary,Information extraction,Natural language processing,Artificial intelligence,Automatic processing,Recall | Conference |
ISBN | Citations | PageRank |
1-111-56789-0 | 1 | 0.39 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junko Hosaka | 1 | 17 | 4.47 |
| J L Koh | 2 | 110 | 14.39 |
| Akihiko Konagaya | 3 | 578 | 94.32 |