Named Entity Disambiguation over Texts Written in the Portuguese or Spanish Languages


This text addresses the problem of disambiguating named entities, in text documents, towards entries during a information base like Wikipedia. The proposed approach uses supervised learning to type candidate knowledge base entries for every entity mentioned in a text, and then to classify the entry ranked in the first position as either the right disambiguation or not. We tend to present results with Portuguese and Spanish texts for a wide selection of models and configuration options. Our experiments attest to the effectiveness of supervised learning ways in this specific task, showing that out-of-the-box algorithms and comparatively easy options will achieve a high accuracy.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : LOMCF: Forwarding and Caching in Named Data Networking based MANETs - 2017 ABSTRACT: Named information networking (NDN) resolves ancient transmission control protocol/web protocol (TCP/IP)-based mostly Internet
PROJECT TITLE : Named entity recognition from unstructured handwritten document images - 2016 ABSTRACT: Named entity recognition is an important topic in the sphere of natural language processing, whereas in document image

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry