This is a past event
Abstract: Named Entity Resolution (NER) is an information extraction task that involves detecting mentions of named entities (e.g. people, organisations or locations) within texts and mapping them to their corresponding entities in a given knowledge source. Systems and frameworks for performing NER have been developed both by the academia and the industry with different features and capabilities. The goal of this presentation is to describe our experiences from implementing NER solutions in a number of real-world application scenarios and share some key lessons we learned with respect to their applicability and effectiveness. Moreover, we shall describe a metric-based methodological framework that allowed us to understand and optimize the performance of our NER solution in each of these scenarios.
Bio: Dr. Panos Alexopoulos is Semantic Applications Research Manager at Intelligent Software Components (iSOCO) S.A in Madrid, Spain, conducting and managing product-oriented R&D activities in the areas of Intelligent Information Access, Knowledge Management and Semantic Web. Prior to joining iSOCO he had been working as a Semantic Solutions Architect and Ontologist for IMC Technologies S.A. in Athens, Greece as well as a Computer Science Lecturer for Mediterranean College Athens. Panos holds a PhD in Knowledge Engineering and Management from National Technical University of Athens (2012), an MSc in Advanced Computing from Imperial College London (2005) and a diploma in Electrical & Computer Engineering from National Technical University of Athens (NTUA) (2004). He has published more than 40 articles at international conferences, journals and books while the output of his PhD thesis has been successfully applied in several commercial projects.
- Speaker
- Dr. Panos Alexopoulo
- Hosted by
- Jeff Pan
- Venue
- Meston 2