We’ll discuss how Priberam is applying machine learning to the problems of Media Monitoring and Technology Watch in the context of the INSIGHT P2020 project. We’ll show a working prototype and describe the developed microservices platform, and how the several NLP components come into play. In particular, we’ll give an overview of the inner workings of the core machine learning models developed by Priberam, such as crosslingual clustering, named entity recognition and linking, document summarization, topic detection and sentiment analysis.
This work is supported by the Lisbon Regional Operational Programme (Lisboa 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), within project INSIGHT (033869).
INSIGHT: Advancing NLP for scaling-up Media Monitoring and Technology Watch
July 11, 2019
1:00 pm
Sebastião Miranda
Sebastião works in the R&D department of Priberam, having taken leading roles in several R&D projects over the past few years. He specializes in design, development and full-stack integration of Natural Language Processing systems into applications in the Media, Legal and Healthcare industries. He is actively searching for new opportunities for transferring state-of-the-art research results into successful products. Sebastião holds an MSc. in Electrical and Computer Engineering from Instituto Superior Técnico (University of Lisbon), 2014.PriberamSeminários
Últimos seminários
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
June 17, 2025Large language models (LLMs) have emerged as strong contenders in machine translation. Yet, they often fall behind specialized neural machine…
Speech as a Biomarker for Disease Detection
May 20, 2025Today’s overburdened health systems face numerous challenges, exacerbated by an aging population. Speech emerges as a ubiquitous biomarker with strong…
Enhancing Uncertainty Estimation in Neural Networks
May 6, 2025Neural networks are often overconfident about their predictions, which undermines their reliability and trustworthiness. In this presentation, I will present…
Improving Evaluation Metrics for Vision-and-Language Models
April 22, 2025Evaluating image captions is essential for ensuring both linguistic fluency and accurate semantic alignment with visual content. While reference-free metrics…