Publications and Research Material

Publications and Research Material a.galassi@unibo.it Wed, 13/02/2019 - 16:35

NLP

Pre-print

Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing

Presentation

Attention - a useful tool to improve and understand neural networks

Conference Paper

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning

Cite as:

Andrea Galassi, Marco Lippi, and Paolo Torroni. 2018. Argumentative link prediction using residual networks and multi-objective learning. In Proceedings of the 5th Workshop on Argument Mining, pages 1–10. Association for Computational Linguistics. URL: http://aclweb.org/anthology/W18-5201

Presentation

Argumentative Link Prediction Using Residual Networks and Multi-Objective Learning

 

Deep Networks and CSPs

Conference Paper

Model agnostic solution of CSPs via Deep Learning: a preliminary study

Cite as:

Galassi A., Lombardi M., Mello P., Milano M. (2018) Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study. In: van Hoeve WJ. (eds) Integration of Constraint Programming, Artificial Intelligence, and Operations Research. CPAIOR 2018. Lecture Notes in Computer Science, vol 10848. Springer, Cham. DOI: 10.1007/978-3-319-93031-2_18

Presentation:

Deep Neural Networks for CSP, an initial investigation

 

Games

Journal Paper

Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men’s Morris

Cite as:

F. Chesani, A. Galassi, M. Lippi and P. Mello, "Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris," in IEEE Transactions on Games, vol. 10, no. 4, pp. 344-353, Dec. 2018. DOI: 10.1109/TG.2018.2804039
 

Code

 

Project Page

 

Education

Conference Paper

A Game-Based Competition as Instrument for Teaching Artificial Intelligence

Cite as:

Chesani F., Galassi A., Mello P., Trisolini G. (2017) A Game-Based Competition as Instrument for Teaching Artificial Intelligence. In: Esposito F., Basili R., Ferilli S., Lisi F. (eds) AI*IA 2017 Advances in Artificial Intelligence. AI*IA 2017. Lecture Notes in Computer Science, vol 10640. Springer, Cham. DOI: 10.1007/978-3-319-70169-1_6

Poster

 

 

Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing

Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing a.galassi@unibo.it Mon, 29/04/2019 - 16:57

Publicly Accessible Resources