Latent Semantics in Named Entity Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43924045" target="_blank" >RIV/49777513:23520/15:43924045 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.eswa.2014.12.015" target="_blank" >http://dx.doi.org/10.1016/j.eswa.2014.12.015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2014.12.015" target="_blank" >10.1016/j.eswa.2014.12.015</a>

Result language
angličtina
Original language name
Latent Semantics in Named Entity Recognition
Original language description
In this paper, we propose new features for Named Entity Recognition (NER) based on latent semantics. Furthermore, we explore the effect of unsupervised morphological information on these methods and on the NER system in general. The newly created NER system is fully language-independent thanks to the unsupervised nature of the proposed features. We evaluate the system on English, Spanish, Dutch and Czech corpora and study the difference between weakly and highly inflectional languages. Our system achieves the same or even better results than state-of-the-art language dependent systems. The proposed features proved to be very useful and are the main reason of our promising results.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Project
<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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