[Lisa_seminaires] Fwd: présentation prédoc III - Yifan Nie

Yoshua Bengio yoshua.umontreal at gmail.com
Mer 3 Mai 21:28:00 EDT 2017


This should be of interest to many of us, from our colleagues in the DIRO's
NLP group.

---------- Forwarded message ----------
From: nie <nie at iro.umontreal.ca>
Date: 2017-05-03 17:24 GMT-04:00
Subject: présentation prédoc III - Yifan Nie
To: seminaires at iro.umontreal.ca


Vous êtes cordialement invités à cette présentation prédoc III, par:

Yifan Nie (RALI)

Tailored Deep Learning Techniques for Information Retrieval

Vendredi 5 mai 2017, 11:00, salle Z-200, pavillon Claire McNicoll

Traditional information retrieval systems employing bag-of-words
representations often lead to poor results. More recently, learning-to-rank
(L2R) approaches have successfully incorporated the idea of learning a
ranking function. However, the features used to represent documents and
queries in L2R are still human-crafted. In this research, we will
incorporate representation learning developed in the area of deep learning.
The proposed framework is tailored to IR tasks, which combines
representation learning and ranking-function learning. To implement the
framework, several key problems need to be addressed: 1. Query-dependent
representation learning; 2. Using multiple representations in a deep net;
3. Generating pseudo training data for IR. In this presentation, we will
propose approaches to these problems and report some preliminary results.


Jury:

Aaron Courville

Philippe Langlais
Jian-Yun Nie (directeur)
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