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 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 mailing list webpage. Anyone can attend the seminars; no registration is necessary. If you would like to present something, please send us an email.

The seminars are usually held every other 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!

Tuesday, July 12th 2016, 13h00 - 14h00

Pedro Balage (Priberam)

Challenges in Aspect-based Sentiment Analysis

Anfiteatro do Complexo Interdisciplinar

Instituto Superior Técnico - Alameda

Abstract:

This talk will present the challenges for the research area known as aspect-based sentiment analysis. Sentiment Analysis (or Opinion Mining) is a field of study in Natural Language Processing that aims to extract and classify the sentiment orientation present in texts. Aspect-based Sentiment Analysis (ABSA) is a particular study of sentiment analysis focusing in the extraction of opinions directed to a specific target or aspect.
ABSA has gained a lot of attention and was popularized in the academic field with a dedicated shared task in the last three SemEval workshops (semantic evaluation competition). This talk will present the actual challenges and how are the state-of-art in terms of machine learning algorithms.

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Bio: Pedro Balage is a researcher at Priberam and a PhD student from the University of São Paulo with his topic on Aspect-based Sentiment Analysis. Pedro got his masters in Computational Linguistics by the program Erasmus Mundus International Masters in Natural Language Processing.