Representation Learning

This research topic is very important in machine learning and a first step for all kinds of machine learning algorithms. Having a robust representation definitely plays a vital role for good performance/accuracy.

Recent progress of representation learning is using deep architecture (normally referring to deep learning). Here I collect some of very good papers worth reading:

1) Representation Learning: A Review and New Perspectives (Yoshua Bengio et al., 2014)

2) Deep Learning of Representations for Unsupervised and Transfer Learning (Yoshua Bengio et al., 2012)

3) ...

Just a note on email summarization

Imagine that we have a set of mailing lists (e.g. Dbworld, Corpora-List, Linguist, BioNLP, moses-support, so on). Each of such a mailing list actually contains a bulk of questions and answers given by domain experts or semi-experts. A couple of situations can be raised:
Situation 1: a new user raises a question which had already been partially or fully answered through one or more email threads of mailing list. Need a question answering system or summarizer in this context???
Situation 2: a new user wants to search a topic of interest. A retrieval system needed???
Situation 3: such a mailing list needs a classification of email threads???
Situation 4: TBA

Any suggestions?

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Cheers,
Vu