Anna Lisa Gentile
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Anna Lisa Gentile has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Aldo Gangemi
University of Bologna
1 shared publication - Andrea Giovanni Nuzzolese
ISTC-CNR, Italy
1 shared publication - Annalina Caputo
School of Computing, Dublin City University, Dublin, Ireland
1 shared publication - Christian Bizer
Data and Web Science Group, University of Mannheim, Mannheim, Germany
1 shared publication - Giuseppe Rizzo
LINKS Foundation, Turin, Italy
1 shared publication - Heiko Paulheim
University of Mannheim
1 shared publication
Latest Publications
- 20 October 2016
- Published by Springer Nature
- p. 84-87
Semantic Web Conference Ontology - A Refactoring Solution
- 20 October 2016
- Published by Springer Nature
- p. 84-87
Semantic Web Conference Ontology - A Refactoring Solution
- 20 October 2016
- Published by Springer Nature
- p. 167-171
Extending RapidMiner with Data Search and Integration Capabilities
- 20 October 2016
- Published by Springer Nature
- p. 167-171
Extending RapidMiner with Data Search and Integration Capabilities
- Open Access
- 1 January 2016
- Published by OpenEdition
- p. 40-47
Overview of the EVALITA 2016 Named Entity rEcognition and Linking in Italian Tweets (NEEL-IT) Task
This report describes the main outcomes of the 2016 Named Entity rEcognition and Linking in Italian Tweet (NEEL-IT) Challenge. The goal of the challenge is to provide a benchmark corpus for the evaluation of entity recognition and linking algorithms specifically designed for noisy and short texts, like tweets, written in Italian. The task requires the correct identification of entity mentions in a text and their linking to the proper named entities in a knowledge base. To this aim, we choose to use the canonicalized dataset of DBpedia 2015-10. The task has attracted five participants, for a total of 15 runs submitted.
- 1 January 2016
- Published by OpenEdition
- p. 40-47
Open AccessOverview of the EVALITA 2016 Named Entity rEcognition and Linking in Italian Tweets (NEEL-IT) Task
This report describes the main outcomes of the 2016 Named Entity rEcognition and Linking in Italian Tweet (NEEL-IT) Challenge. The goal of the challenge is to provide a benchmark corpus for the evaluation of entity recognition and linking algorithms specifically designed for noisy and short texts, like tweets, written in Italian. The task requires the correct identification of entity mentions in a text and their linking to the proper named entities in a knowledge base. To this aim, we choose to use the canonicalized dataset of DBpedia 2015-10. The task has attracted five participants, for a total of 15 runs submitted.