Sisinflab: an ensemble of supervised and unsupervised strategies for the neel-it challenge at Evalita 2016

This work presents the solution adopted by the sisinflab team to solve the task NEEL-IT (Named Entity rEcognition and Linking in Italian Tweets) at the Evalita 2016 challenge. The task consists in the annotation of each named entity mention in a Twitter message written in Italian, among characters, events, people, locations, organizations, products and things and the eventual linking when a corresponding entity is found in a knowledge base (e.g. DBpedia). We faced the challenge through an approach that combines unsupervised methods, such as DBpedia Spotlight and word embeddings, and supervised techniques such as a CRF classifier and a Deep learning classifier.