Relation Extraction Overview
Within the scope of the @Note workbench, we have developed a Relation Extraction tool.
This tool aims at bringing together the skills of current entity recognisers and Natural Language Processing (NLP) parsers
towards general relation extraction. By using ontology-based semantic mapping, biologists will also be able to
incorporate their domain expertise, contextualising/customising the analysis of general outputs.
Currently, the tool includes:
- loaders for several entity annotation schemas, namely GENIA, BioInfer, AIMed, Yapex and @Note;
- loader the Gene Ontology (GO);
- shallow syntactic parsing (namely tokenisation, sentence splitting, Part-of-Speech tagging, lemmatisation and verb phrase grouping) based on GATE language engineering software.
A common relation extraction workflow is already set. Studies encompass:
- relation frequency,
- entity (class) co-occurrence,
- and polarity.
|Detailed information can be found at|