OpeNER: Open Polarity Enhanced Named Entity Recognition
Autores: Rodrigo Agerri, Montse Cuadros, Seán Gaines, German Rigau
Fecha: 18.09.2013
Procesamiento del Lenguaje Natural
Abstract
Currently there are many companies offering Content Analytics and Social Internet Mining services for the purposes of Opinion Mining and Reputation Management. A high percentage of Small and Medium Enterprises (SMEs) are active offering niche solutions to specific segments of the market and/or domains. However, acquiring or developing the base qualifying technologies required to enter the market is an expensive undertaking that redirects the already limited resources of SMEs away from offering products and services that the market demands.The main goal of the OpeNER european project is the reuse and repurposing of existing language resources and data sets to provide a set of underlying technologies to the broader industrial and academic community.
BIB_text
author = {Rodrigo Agerri, Montse Cuadros, Seán Gaines, German Rigau},
title = {OpeNER: Open Polarity Enhanced Named Entity Recognition},
journal = {Procesamiento del Lenguaje Natural},
pages = {215-218},
volume = {51},
keywds = {
Sentiment Analysis, Proyecto Europeo, Multilingual, Named Entity Recognition, Procesamiento del Lenguaje Natural
}
abstract = {
Currently there are many companies offering Content Analytics and Social Internet Mining services for the purposes of Opinion Mining and Reputation Management. A high percentage of Small and Medium Enterprises (SMEs) are active offering niche solutions to specific segments of the market and/or domains. However, acquiring or developing the base qualifying technologies required to enter the market is an expensive undertaking that redirects the already limited resources of SMEs away from offering products and services that the market demands.The main goal of the OpeNER european project is the reuse and repurposing of existing language resources and data sets to provide a set of underlying technologies to the broader industrial and academic community.
}
isi = {1},
date = {2013-09-18},
year = {2013},
}