Data preparation and interannotator agreement: BioCreAtIvE Task 1B
نویسندگان
چکیده
منابع مشابه
BioCreative IV Interactive Task
Fully automated text mining systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace curators, but they can assist in one or more biocuration steps. To do so, the interface with the curator is an important aspect that needs to be considered for tool adoption. The BioCreative...
متن کاملBioCreative Task 2.1: The Edinburgh-Stanford system
We describe a system for BioCreative Task 2.1: finding evidence that suppports a GO term annotation for a given protein in a given biomedical paper. We approach the problem as a question answering task, where the query is constructed from a protein name, a GO term and its definition.
متن کاملThe Gene Ontology Task at BioCreative IV
Gene Ontology (GO) annotation is a common task among model organism database (MOD) groups. It is a very time-consuming and labor-intensive task, thus often considered as one of the bottlenecks in literature curation. There is a growing need for semior fully-automated GO curation techniques that will help database curators rapidly and accurately identify gene function information in full-length ...
متن کاملA double-blind experiment on interannotator agreement: the case of dependency syntax and Finnish
Manually performed treebanking is an expensive effort compared with automatic annotation. In return, manual treebanking is generally believed to provide higherquality/value syntactic annotation than automatic methods. Unfortunately, there is little or no empirical evidence for or against this belief, though arguments have been voiced for the high degree of subjectivity in other levels of lingui...
متن کاملAn Ensemble Information Extraction Approach to the BioCreative CHEMDNER Task
We report on the Penn State team’s experience in the CHEMDNER chemical entity mention and the chemical document indexing tasks. Our approach devises a probabilistic framework that incorporates an ensemble of multiple information extractors to obtain high accuracy. The probabilistic framework can be configured to optimize for either precision, recall, or F-Measure based on the task requirement. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2005
ISSN: 1471-2105
DOI: 10.1186/1471-2105-6-s1-s12