NEEL-IT - Named Entity rEcognition and Linking in Italian Tweets

Tweets represent a great wealth of information useful to understand recent trends and user behaviours in real-time. Usually, natural language processing techniques would be applied to such pieces of information in order to make them machine-understandable. Named Entity rEcongition and Linking (NEEL) is a particularly useful technique aiming at assigning semantics to a text. However, due to the noisy nature and shortness of tweets, this technique is more challenging in this context than elsewhere.

NEEL-IT at EVALITA 2016 has the vision to establish itself as a reference evaluation framework in the context of Italian tweets. In particular, consists of annotating each named entity mention (like people, locations, organizations, and products) in a text by linking it to a knowledge base (DBpedia).

Detailed guidelines, task materials and data sets for development, training and testing will be made available on the Task Website.


Pierpaolo Basile (Università di Bari Aldo Moro, Italy)
Annalina Caputo (Università di Bari Aldo Moro, Italy)
Anna Lisa Gentile (University of Mannheim, Germany)
Giuseppe Rizzo (Istituto Superiore Mario Boella, Italy)

Contact: neelit.task[AT]