Temporal expression extraction with extensive feature type selection and a posteriori label adjustment
CliNER
About CliNER CliNER is a command line tool for identification of mentions of four categories of clinically relevant events: Problems, Tests, Treatments and Clinical Departments. It also recognises and normalises clinical temporal expressions. It was developed as part of the i2b2 2012 text mining challenge and therefore has been trained…
Good Results in BioNLP 2009 Challenge
Our TEAM took part in the BioNLP 2009 Shared task on Event Extraction, organised by the Genia group. The main aim of the challenge was the extraction of bio-events from the literature, focusing particularly on molecular events involving proteins and genes. The shared task was designed to address a semantically rich information extraction…
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives
Mining methodologies from NLP publications: A case study in automatic terminology recognition
Good Results in BioNLP 2009 Challenge
Our TEAM took part in the BioNLP 2009 Shared task on Event Extraction, organised by the Genia group. The main aim of the challenge was the extraction of bio-events from the literature, focusing particularly on molecular events involving proteins and genes. The shared task was designed to address a semantically rich information extraction…