nametagger_load_model

Load a Named Entity Recognition from your hard disk

Wraps the 'nametag' library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models.
Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.

Jan Wijffels

nametagger

Named Entity Recognition in Texts using 'NameTag'

BNOSAC 

Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic 

Milan Straka 

Jana Straková 

nametagger_load_model function

<dl><dt>file</dt>
<dd>character string with the path to the file on disk</dd></dl>

Arguments

Load a Named Entity Recognition — nametagger_load_model

<dl>

<dt>file</dt>
<dd>character string with the path to the file on disk</dd>

</dl>

nametagger_load_model: Load a Named Entity Recognition

Description

Usage

Value

Arguments

Examples