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A Tidy Data Model for Natural Language Processing using cleanNLP
March 27, 2017 ยท Declared Dead ยท ๐ The R Journal
"No code URL or promise found in abstract"
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Authors
Taylor Arnold
arXiv ID
1703.09570
Category
cs.CL: Computation & Language
Cross-listed
stat.CO
Citations
33
Venue
The R Journal
Last Checked
4 months ago
Abstract
The package cleanNLP provides a set of fast tools for converting a textual corpus into a set of normalized tables. The underlying natural language processing pipeline utilizes Stanford's CoreNLP library, exposing a number of annotation tasks for text written in English, French, German, and Spanish. Annotators include tokenization, part of speech tagging, named entity recognition, entity linking, sentiment analysis, dependency parsing, coreference resolution, and information extraction.
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