Seminars


The Priberam Machine Learning Lunch Seminars are a series of informal meetings which occur every two weeks at Instituto Superior Técnico, in Lisbon. It works as a discussion forum involving different research groups, from IST and elsewhere. Its participants are interested in areas such as (but not limited to): statistical machine learning, signal processing, pattern recognition, computer vision, natural language processing, computational biology, neural networks, control systems, reinforcement learning, or anything related (even if vaguely) with machine learning.

The seminars last for about one hour (including time for discussion and questions) and revolve around the general topic of Machine Learning. The speaker is a volunteer who decides the topic of his/her presentation. Past seminars have included presentations about state-of-the-art research, surveys and tutorials, practicing a conference talk, presenting a challenging problem and asking for help, and illustrating an interesting application of Machine Learning such as a prototype or finished product.

Presenters can have any background: undergrads, graduate students, academic researchers, company staff, etc. Anyone is welcome both to attend the seminar as well as to present it. Ocasionally we will have invited speakers. See below for a list of all seminars, including the speakers, titles and abstracts.

Note: The seminars are held at lunch-time, and include delicious free food.

Feel free to join our mailing list, where seminar topics are announced beforehand. You may also visit the group webpage. Anyone can attend the seminars. If you would like to present something, please send us an email.

The seminars are usually held every other Thursday (previously on Tuesday), from 1 PM to 2 PM, at the IST campus in Alameda. This sometimes changes due to availability of the speakers, so check regularly!

Thursday, July 11th 2019, 13h00 - 14h00

Sebastião Miranda (Priberam)

INSIGHT: Advancing NLP for scaling-up Media Monitoring and Technology Watch

PA2

Instituto Superior Técnico - Alameda

Abstract:

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).

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Bio: 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.

Eventbrite - INSIGHT: Advancing NLP for scaling-up Media Monitoring and Technology Watch