Cutting Edge Technologies for Practical Solutions
AI • NLP • ML • SES
Our technology integrates state-of-the-art methods and our expertise has been largely successful in a wide range of problems and tasks. Reveal is exploiting technologies in new ways to overcome usual lexical approach limitations. Our research effort is focused on producing practical and robust solutions strongly needed by organizations.
Valuable AI/Machine Learning for your Organization
The application of Machine Learning methods and algorithms enables the development and deployment of robust solutions able to support complex decision processes within an organization.
Organizations face complex challenges in their informational and business needs. Analysis of innovative processes, technological monitoring, large-scale online marketing are just examples of the kinds of complex decisions organizations have to consider.
These methods provide systems the ability to automatically learn and improve from experience
Learning machines correspond to tremendous opportunities for Industrial and Public Organisations as they allow to capitalize their current assets in terms of:
- Data, gathered, monitored and delivered within the organizational body.
- Expertise, in terms of excellence and best practices, to be fruitfully empowered and amplified by the ML algorithms.
The application of Machine Learning methods and algorithms enables the development and deployment of robust solutions able to support complex decision processes within an Organization. Most importantly, these methods provide systems the ability to automatically learn and improve from experience (i.e. analyzing data made available from an Organization) without being explicitly programmed. Machine Learning algorithms exploit data evidence and acquire a robust model to solve a target task, without an explicit definition of the task itself.
State-of-the-art Learning Paradigms
In Reveal, we adopt Kernel-based Support Vector Machines and Deep Neural Networks as they provide top learning paradigms.
For example, they can be thought of as methods for constructing classifiers with theoretical guarantees of good predictive performance in terms of the quality of classification on unseen data. We deploy modular solutions that can be easily integrated into the architectures available in the Organizations with specific attention to scalability issues and efficiency, in order to define effective and efficient solutions.
Our technology integrates cutting-edge methods and our expertise has been largely successful in a wide range of problems and tasks. On the one hand the task in national and international benchmarking campaigns where our teams scored first, such as Community Question Answering Task¹ in Semeval or the Polarity Induction Task² at Evalita 2016 or the Automatic Processing of Dialogues³ at Evalita 2018. On the other hand, a number of industrial applications such as Forecasting in Radar Emission Recognition, Process Management in Banking or Media Industry Sentiment Analysis have been approached with accurate models in Industrial projects, now operative in the respective scenarios.