Mattia Di Gangi

Mattia Di Gangi

PhD candidate working on Neural Machine Translation. I like technology, deep learning, NLP and getting things done.

CV

Education

B.S. in Computer Science, 2014
University of Palermo, 110 cum laude
Thesis: On the Design of Fuzzy Sets
Advisor: Professor Settimo Termini

M.S. in Computer Science, 2016 (Double Degree)
University of Palermo, Magna cum laude
University Paris-est Marne la Vallée
Thesis: Machine Learning Methods for Sarcasm Detection
Advisor: Dr. Giosuè Lo Bosco
Co-advisor: Dr. Ing. Giovanni Pilato

Ph.D in Computer Science, 2020 (expected)
University of Trento and Fondazione Bruno Kessler (FBK)
Research topic: Neural Machine Translation
Advisor: Marcello Federico

Work experience

  • Fall 2016: Research Intern

    • National Council of Research (CNR), Palermo

    • Topic: Sarcasm Detection

    • Supervisor: Dr. Ing. Giovanni Pilato

  • August - September 2016: Research Intern

    • Fondazione Bruno Kessler (FBK) - HLT-MT unit

    • Topic: Neural Machine Translation

    • Supervisor: Marcello Federico

CONFERENCE PRESENTATIONS

  • 14th International Workshop on Spoken Language Translation (IWSLT 2017), Tokyo, Japan, Dec 2017.

  • 4th Italian Conference on Computational Linguistics (Clic-it 2017), Rome, Italy, Dec 2017.

  • 2nd Conference on Machine Translation (WMT17), Copenhagen, Denmark, Sept 2017.

  • 13th Annual Conference of the Italian Association for Cognitive Sciences (AISC), Turin, Italy, Nov 2016.

  • AISC mid-term 2015, Italian Association for Cognitive Science (AISC), Palermo, Italy, May 2015.

GRANTS AND SCHOLARSHIPS

Student grant for Deep Tech Summit 2017
17-18 Oct 2017
Tech Tour DTS

PhD Scholarship
Nov. 2016 - Oct. 2019
Fondazione Bruno Kessler, Trento, Italy

Summer Internship Grant
Aug.-Sept. 2016 Fondazione Bruno Kessler, Trento, Italy

Internship Grant
Mar-May 2016
National Research Council, Palermo, Italy

Student Grant from First European Summer School in Fuzzy Logic
7-11 Sept 2015
EUSFLAT , Como, Italy

Double Degree Grant with Université Paris-est Marne-la-Vallée
Sept 2015 - Feb 2016
Champs-sur-Marne, France

SUMMER SCHOOLS

7th Lisbon Machine Learning School 20-27 Jul. 2017
Instituto Superior Técnico (IST), Lisbon, Portugal

First European Summer School in Fuzzy Logic 7-11 Sep. 2015
EUSFLAT , Como, Italy

PUBLICATIONS

Di Gangi, Mattia Antonino; Lo Bosco, Giosuè; Rizzo, Riccardo.
“Deep learning architectures for prediction of nucleosome positioning from sequences data”
BMC Bioinformatics 19 (14), 418

Di Gangi, Mattia Antonino; Dessì, Roberto; Cattoni, Roldano; Negri, Matteo; Turchi, Marco.
“Fine-tuning on Clean Data for End-to-End Speech Translation: FBK@ IWSLT 2018”
Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Bruges, Belgium, 2018.

Di Gangi, Mattia Antonino; Federico, Marcello.
“Deep Neural Machine Translation with Weakly-Recurrent Units”
Proceedings of the 21st Conference of the European Association of Machine Translation (EAMT),Alicante, Spain. 2018

Ataman, Duygu; Di Gangi, Mattia Antonino; Federico, Marcello.
“Compositional Source Word Representations for Neural Machine Translation”
Proceedings of the 21st Conference of the European Association of Machine Translation (EAMT),Alicante, Spain. 2018

Di Gangi, M. A., Federico M.
“Monolingual Embeddings for Low Resourced Neural Machine Translation”.
Proc. 14th International Workshop on Spoken Language Translation (IWSLT), Tokyo, Japan, 2017.

Di Gangi, M.A., and Federico, M.
“Can Monolingual Embeddings Improve Neural Machine Translation?”.
Proc. 4th Italian Conference on Computational Linguistics (CLiC-it ), Rome, 2017.

Lakew, S.M., Di Gangi, M.A., Federico, M.
“Multilingual Neural Machine Translation for Low Resource Languages”.
Proc. 4th Italian Conference on Computational Linguistics (CLiC-it ), Rome, 2017.

Di Gangi, M. A., Bertoldi, N., Federico, M.
“FBK’s participation to WMT’17”.
Proc. 2nd Conference on Machine Translation (WMT17), Copenhagen, Denmark, 2017.

Ruiz, N., Di Gangi, M.A., Bertoldi, N., Federico, M. “Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors”.
Proc. INTERSPEECH 2017, Stockholm, Sweden, August 20-24, 2017.

Di Gangi, M. A., Gaglio, S., La Bua, C., Lo Bosco, G., & Rizzo, R.
“A Deep Learning Network for Exploiting Positional Information in Nucleosome Related Sequences”.
Proc. of the 5th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2017). pp. 524-533, Granada, Spain, 2017.

Lo Bosco, G., & Di Gangi, M. A. “Deep learning architectures for DNA sequence classification”.
Proc. International Workshop on Fuzzy Logic and Applications, pp. 162-171, Naples, Italy, 2016

Farajian, M. A., Chatterjee, R., Conforti, C., Jalalvand, S., Balaraman, V., Di Gangi, M. A., Ataman, D., Turchi, M., Negri, M., Federico, M.
“FBK’s Neural Machine Translation Systems for IWSLT 2016”.
Proc. 9th International Workshop on Spoken Language Translation (IWSLT), Seattle, WA, 2016.

D’Asaro, F. A., Di Gangi, M. A., Perticone, V., & Tabacchi, M. E.
“Computational Intelligence and Citizen Communication in the Smart City”.
Informatik-Spektrum, pp. 1-10, 2016.