Alessandro Sordoni
Department of Computer Science and Operations Research
University of Montreal

Ph. D. student
email: sordonia (at sign) iro (dot) umontreal (dot) ca

About Me

I am a PhD student in Information Retrieval (IR) under the supervision of Prof. Jian-Yun Nie. I am particularly interested in representation spaces and theoretical models for IR. Currently, I am investigating possible applications of representation learning techniques in the IR field. Here is my CV, LinkedIn

For Students

If you are a student willing to work on challenging problems or just interested to know more about IR/machine learning/semantic representations, just send me an email. I'm always willing to share ideas, brainstorm on new problems and promote teamwork.


Quantum Entropy Minimization (C++): [code]

Quantum Language Models (C++/Indri/Boost/Armadillo): [code]


new! I. Serban, A. Sordoni, Y. Bengio, A. Courville and J. Pineau. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Networks. In Proc of AAAI, 2016.

new! A. Sordoni, Y. Bengio, H. Vahabi, C. Lioma, J.G. Simonsen and J.-Y. Nie. A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, In Proc of CIKM, 2015.

new! M. Galley, C. Brockett, A. Sordoni, Y. Ji, M. Auli, C. Quirk, M. Mitchell, J. Gao, B. Dolan. deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets, In Proc of ACL, 2015.

new! A. Sordoni, M. Galley, M. Auli, C. Brockett, Y. Ji, M. Mitchell, J.-Y. Nie, J. Gao, B. Dolan. A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. In Proc of NAACL-HLT, 2015, [pdf], [code+data].

A. Sordoni, Y. Bengio and J.-Y. Nie. Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. In Proc of AAAI, 2014, [pdf], [code], [data available upon request].

X. Liu, A. Bouchoucha, A. Sordoni and J.-Y. Nie. Compact Aspect Embedding For Diversified Query Expansion. In Proc of AAAI, 2014, [pdf].

A. Sordoni, W. Yuan and J.-Y. Nie. Université de Montréal at TREC 2013: Experiments with Quantum Language Models in the Web Track. In Proc of TREC, 2014. [pdf]

A. Sordoni, J.Y.-Nie. Looking at Vector Space and Language Models for IR using Density Matrices. In Proc of QI, 2014. [pdf]

A. Sordoni, J.Y.-Nie and Y. Bengio. Modeling Term Dependencies with Quantum Language Models for IR. In Proc of SIGIR, pages 653-662, 2013. [pdf]

A. Sordoni, J. He, J.Y.-Nie. Modeling Latent Topic Interactions using Quantum Interference for IR. In Proc of CIKM, pages 1197-1200, 2013. [pdf]

G. M. di Nunzio, A. Sordoni. Picturing Bayesian Classifiers. In Data Mining Applications with R, Elsevier, 2013.

G. M. di Nunzio, A. Sordoni. How Well Do We Know Bernoulli? In Proc of IIR, pages 38-44, 2012.

G. M. di Nunzio, A. Sordoni. A Visual Tool for Bayesian Data Analysis: the Impact of Smoothing on Naive-Bayes Text Classifiers. In Proc of SIGIR pages 1002, 2012.

A. Sordoni, J.-P. Briot, I. Alvarez, E.V. Filho, M.A. Irving, G. Melo. Design of a Participatory Decision Agent Architecture Based on Argumentation and Influence Function - Application to a Serious Game about Biodiversity Conservation. In RAIRO - Journ. Oper. Res., 44(4):269--283, 2010.