Can machines learn human behavior?
Portuguese Ph.D. Student Launches Priberam Machine Learning Lunch Seminars
The dual degree Ph.D. student in Language Technologies (LTI) André Martins started a new seminar series in Machine Learning that did not yet exist at Instituto Superior Técnico (IST), in Lisbon. These events are sponsored by the Portuguese company Priberam, the world’s leading supplier of natural language processing technologies for the Portuguese language and the market leader in law knowledge management systems in Portugal.
The first seminar titled "Text-Driven Forecasting: Meaning as a Real Number" took place at Instituto Superior Técnico, in March 9th, 2010., and the speaker was Noah A. Smith, an assistant professor in the School of Computer Science at Carnegie Mellon University. His talk included joint work with Ramnath Balasubramanyan, William Cohen, Dipanjan Das, Kevin Gimpel, Mahesh Joshi, Shimon Kogan, Dimitry Levin, Brendan O'Connor, Bryan Routledge, Jacob Sagi, and Tae Yano.
Noah and his team “conjecture that forecasting tasks, when considered in concert, will be a driving force in domain-specific, empirical, and extrinsically useful natural language analysis. Further, this research direction will push NLP to consider the language of a more diverse subset of the population, and may support inquiry in the social sciences about foreknowledge and communication in societies.”
The goal of these events is to create a new platform for discussion involving different research groups (inside and outside IST) with a common interest in this field. The Priberam Machine Learning Lunch Seminars will be about statistical learning theory, signal processing, pattern recognition, computer vision, natural language processing, computational biology, neural networks, control systems, reinforcement learning, and anything related (even if vaguely) with machine learning.