title: Can we replace curation with information extraction software?
abstract: Can we use programs for automated or semi-automated information extraction from scientific texts as practical alternatives to professional curation? I show that error rates of current information extraction programs are too high to replace professional curation today. Furthermore, current IEP programs extract single narrow slivers of information, such as individual protein interactions; they cannot extract the large breadth of information extracted by professional curators for databases such as EcoCyc. They also cannot arbitrate among conflicting statements in the literature as curators can. Therefore, funding agencies should not hobble the curation efforts of existing databases on the assumption that a problem that has stymied Artificial Intelligence researchers for more than 60 years will be solved tomorrow. Semi-automated extraction techniques appear to have significantly more potential based on a review of recent tools that enhance curator productivity. But a full cost-benefit analysis for these tools is lacking. Without such analysis it is possible to expend significant effort developing information-extraction tools that automate small parts of the overall curation workflow without achieving a significant decrease in curation costs.Database URL.
authors.affiliation: Bioinformatics Research Group, SRI, International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA. Tel:650-859-4358; Fax: 650-859-3735; E-mail: pkarp@ai.sri.com.
authors.forename: Peter D
authors.initials: PD
authors.lastname: Karp
mesh_terms: D066289:Data Curation / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D001330:Electronic Data Processing / Q000379:methods*; D012984:Software