Intro to deep learning for question answering

The talk will provide the basics for understanding current question answering solutions using deep learning (convolutional, recurrent NNs, with and without attention, etc.)

Although this talk is introductory, presenting papers from about 2 years ago, it will allow the participants to understand more recent advancements from 2016 which will be presented at a subsequent Meetup in Feb/Mar 2017.

For the current Meetup, we propose three different solutions:

• a simple CNN for text [1]
• a dependency tree - RNN [2]
• a LSTM-based solution [3]

Notice that this meetup is taking place at University Politehnica of Bucharest, Faculty of Automatic Control and Computer Science, PRECIS (new) building, room PR001 (large amphitheater on the ground floor)