x.ent: R Package for Entities and Relations Extraction based on Unsupervised Learning and Document Structure
April 23, 2015 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Nicolas Turenne, Tien Phan
arXiv ID
1504.06078
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
1
Venue
arXiv.org
Last Checked
6 months ago
Abstract
Relation extraction with accurate precision is still a challenge when processing full text databases. We propose an approach based on cooccurrence analysis in each document for which we used document organization to improve accuracy of relation extraction. This approach is implemented in a R package called \emph{x.ent}. Another facet of extraction relies on use of extracted relation into a querying system for expert end-users. Two datasets had been used. One of them gets interest from specialists of epidemiology in plant health. For this dataset usage is dedicated to plant-disease exploration through agricultural information news. An open-data platform exploits exports from \emph{x.ent} and is publicly available.
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