Sentence examples for information extraction system from inspiring English sources
This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology.
In this study, we present an information extraction system to extract related information on heart disease risk factors from unstructured clinical notes using a hybrid approach.
The developed terminology and the proposed information extraction system allow to extract fine-grained information from German semi-structured transthoracic echocardiography reports with very high precision and high recall on the majority of documents at the University Hospital of Würzburg.
They applied rules in an Information Extraction system (Harabagiu and Lacatusu [12]) to extract information from multiple documents.
36 A new text-mining method (PIE: Protein Interaction information Extraction system) is available on the web to extract PPI from literature (http://pie.snu.ac.kr/).snu.ac.kr/
This paper presents an automatic information extraction system, called ExaCT, that assists users with locating and extracting key trial characteristics (e.g., eligibility criteria, sample size, drug dosage, primary outcomes) from full-text journal articles reporting on randomized controlled trials (RCTs).
According to [65], Precision metric is also often used to evaluate information extraction systems, defined as the number of correctly extracted information from all the extracted information.
At the second Critical Assessment of Information Extraction systems in Biology (BioCreAtIvE II), the top team was able to extract normalized directed interaction pairs from full-text articles, with precision of 37% and recall of 33% (Krallinger et al., 2008).
Text chunking is an essential pre-processing step in information extraction systems.
Information extraction systems aim to identify structured information from unstructured sources such as documents or web pages.
The BioCreative challenge is a community effort to evaluate text mining and information extraction systems applied to the biological domain.
