Andrea Galassi 2nd year PhD student DISI, Università di Bologna Viale del Risorgimento 2, 40136 - Bologna (IT) email: a<dot>galassi<at>unibo<dot>it

Profiles: Unibo website ORCID: 0000-0001-9711-7042  ResearchGate profile Publons profile  Scopus profile

I am a second year PhD student at the Computer Science and Engineer department (DISI) of the University of Bologna. My supervisor is Professor Paolo Torroni.

My PhD is focused on the application of Artificial Intelligence and Machine Learning techniques to Argumentation Mining and similar Natural Language Processing tasks.

My research interests involve also the investigation of what Deep Networks can achieve by themselves and possible ways to combine symbolic and sub-symbolic techniques. So far, we have conducted our investigation on board games and Constraint Satisfaction Problems.

I've been teaching assistant ("Tutor Didattico") of professors Paola Mello, Federico Chesani, and Paolo Torroni. I am one of the responsible of the Board Game Students Challenge. I am also co-supervisor in some bachelor thesis, masters thesis, and course projects, most of them regarding machine learning application.

I have visited Stanford University during summer 2018, working under the supervision of Margaret Hagan in the context of the MIREL project.

Recent works and news:

• Jun 2019: Our abstract "Imitation or Understanding? Deep Learning to the Test on Constraint Satisfaction Problems" has been presented at EURO19.
• May 2019: Our pre-print "Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning" is available on arXiv.
• Mar 2019: Our paper "HABITAT: An IoT Solution for Independent Elderly" has been published on "Sensors". It is freely available on the website of the journal.
• Feb 2019: Our paper "Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing" is under peer review and is available on arXiv. A presentation on the topic is available here.
• Nov 2018: Our paper "Argumentative Link Prediction using Residual Networks and Multi-Objective Learning" has been presented at ArgMining2018, a workshop collocated with EMNLP2018. The presentation is available here.
• Jun 2018: Our short paper "Model agnostic solution of CSPs via Deep Learning: a preliminary study" has been presented at CPAIOR 2018. The free pre-publish version can be found here.
• Feb 2018: Our extended abstract "Deep Neural Networks for Constraint Satisfaction Problems: an Initial Investigation for the N-Queens" has been presented at OLA18. A presentation on the topic can be found here.
• Feb 2018: Our paper "Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris" has been published on "IEEE Transaction on Games". The accepted version can be found here.
• Nov 2017: Our paper "A Game-Based Competition as Instrument for Teaching Artificial Intelligence" has been presented at AI*IA 2017. The free pre-publish version can be found here.

Projects in which I am or I've been involved:

• Argumentation Mining: extraction of arguments from unstructured textual documents
• Games and AI: application of Artificial Intelligence techniques in the context of games
• Habitat: Home Assistance Based on the Internet of Things for the AuTonomy
• DeepOpt