no code implementations • LREC 2014 • Giuseppe Rizzo, Marieke van Erp, Rapha{\"e}l Troncy
Detecting and classifying named entities has traditionally been taken on by the natural language processing community, whilst linking of entities to external resources, such as those in DBpedia, has been tackled by the Semantic Web community.
no code implementations • LREC 2016 • Filip Ilievski, Giuseppe Rizzo, Marieke van Erp, Julien Plu, Rapha{\"e}l Troncy
More and more knowledge bases are publicly available as linked data.
no code implementations • SEMEVAL 2017 • Rapha{\"e}l Troncy, Enrico Palumbo, Efstratios Sygkounas, Giuseppe Rizzo
In this paper, we describe the participation of the SentiME++ system to the SemEval 2017 Task 4A {``}Sentiment Analysis in Twitter{''} that aims to classify whether English tweets are of positive, neutral or negative sentiment.
no code implementations • JEPTALNRECITAL 2018 • Julien Plu, Kevin Cousot, Mathieu Lafourcade, Rapha{\"e}l Troncy, Giuseppe Rizzo
Entity linking systems typically rely on encyclopedic knowledge bases such as DBpedia or Freebase.