Fabio Massimo Zanzotto

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Roberto BasiliUniversity of Rome, Tor Vergata (Italy)Dirección de correo verificada de info.uniroma2.it
Marco PennacchiottiBMW - Autonomous DrivingDirección de correo verificada de bmw.de
Alessandro MoschittiPrincipal Scientist at Amazon AlexaDirección de correo verificada de amazon.com
Francesca FallucchiAssistant Professor at Guglielmo Marconi UniversityDirección de correo verificada de unimarconi.it
Leonardo RanaldiUniversity of Rome Tor Vergata | Idiap Research InstituteDirección de correo verificada de idiap.ch
Fiorella GuadagniProfessor, San Raffaele Roma Open UniversityDirección de correo verificada de sanraffaele.it
Patrizia FerroniUniversità Telematica San Raffaele RomaDirección de correo verificada de sanraffaele.it
Noemi ScarpatoResearcher, Università Telematica San RaffaeleDirección de correo verificada de unisanraffaele.gov.it
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityDirección de correo verificada de cs.biu.ac.il
Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Dario OnoratiSapienza University of RomeDirección de correo verificada de uniroma1.it
Nicoletta CalzolariDirector of Research, CNR-ILC, ItalyDirección de correo verificada de ilc.cnr.it
Simonetta MontemagniDirector of Research, Istituto di Linguistica Computazionale (ILC-CNR)Dirección de correo verificada de ilc.cnr.it
Nadia ManaFBKDirección de correo verificada de fbk.eu
Fabio PianesiResearch Director - EIT ICT LabsDirección de correo verificada de fbk.eu
Elena Sofia RuzzettiUniversity of Rome "Tor Vergata"Dirección de correo verificada de uniroma2.it
Michele VindigniAssistant Professor, University of Brescia, ItalyDirección de correo verificada de eco.unibs.it
ALESSANDRO LENCIFull professor in linguistics, Università di PisaDirección de correo verificada de unipi.it
Patrizia PaggioProfessor, Institute of Linguistics and Language Technology, University of MaltaDirección de correo verificada de um.edu.mt
Ioannis KorkontzelosProfessor in Computer Science (Data Analytics), Department of Computer Science, Edge Hill UniversityDirección de correo verificada de edgehill.ac.uk

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Fabio Massimo Zanzotto

Associate Professor, University of Rome "Tor Vergata"

Dirección de correo verificada de uniroma2.it - Página principal

Artificial Intelligence Natural Language Processing Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Recognizing textual entailment: Models and applications I Dagan, D Roth, F Zanzotto, M Sammons Springer Nature, 2022	418	2022
Terminology extraction: an analysis of linguistic and statistical approaches MT Pazienza, M Pennacchiotti, FM Zanzotto Knowledge Mining, 255-279, 2005	322	2005
Viewpoint: Human-in-the-loop Artificial Intelligence FM Zanzotto Journal of Artificial Intelligence Research 64, 243-252, 2019	312	2019
Estimating linear models for compositional distributional semantics FM Zanzotto, I Korkontzelos, F Fallucchi, S Manandhar Proceedings of the 23rd international conference on computational …, 2010	178	2010
Building the Italian syntactic-semantic treebank S Montemagni, F Barsotti, M Battista, N Calzolari, O Corazzari, A Lenci, ... Treebanks: Building and using parsed corpora, 189-210, 2003	175	2003
Breast cancer prognosis using a machine learning approach P Ferroni, FM Zanzotto, S Riondino, N Scarpato, F Guadagni, M Roselli Cancers 11 (3), 328, 2019	130	2019
A machine learning approach to textual entailment recognition FM Zanzotto, M Pennacchiotti, A Moschitti Natural Language Engineering 15 (4), 551-582, 2009	97	2009
Parsing engineering and empirical robustness R Basili, FM Zanzotto Natural Language Engineering 8 (2-3), 97-120, 2002	93	2002
Automatic learning of textual entailments with cross-pair similarities FM Zanzotto, A Moschitti Proceedings of 44th Annual meeting of the Association for computational …, 2006	89	2006
A contrastive approach to term extraction R Basili, A Moschitti, MT Pazienza, FM Zanzotto Proceedings of the 4th Terminology and Artificial Intelligence Conference …, 2001	84	2001
Risk assessment for venous thromboembolism in chemotherapy-treated ambulatory cancer patients: a machine learning approach P Ferroni, FM Zanzotto, N Scarpato, S Riondino, U Nanni, M Roselli, ... Medical Decision Making 37 (2), 234-242, 2017	80	2017
Linguistic redundancy in twitter FM Zanzotto, M Pennacchiotti, K Tsioutsiouliklis Proceedings of the Conference on Empirical Methods in Natural Language …, 2011	76	2011
Semeval-2013 task 5: Evaluating phrasal semantics I Korkontzelos, T Zesch, FM Zanzotto, C Biemann Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013	64	2013
Validation of a machine learning approach for venous thromboembolism risk prediction in oncology P Ferroni, FM Zanzotto, N Scarpato, S Riondino, F Guadagni, M Roselli Disease markers 2017, 2017	61	2017
Fast and effective kernels for relational learning from texts A Moschitti, FM Zanzotto Proceedings of the 24th international conference on Machine learning, 649-656, 2007	60	2007
Predicting VTE in cancer patients: candidate biomarkers and risk assessment models S Riondino, P Ferroni, FM Zanzotto, M Roselli, F Guadagni Cancers 11 (1), 95, 2019	57	2019
Distributed tree kernels FM Zanzotto, L Dell'Arciprete International Conference on Machine Learning (ICML), 2012	56	2012
Symbolic, distributed, and distributional representations for natural language processing in the era of deep learning: A survey L Ferrone, FM Zanzotto Frontiers in Robotics and AI 6, 153, 2020	54	2020
KERMIT: Complementing transformer architectures with encoders of explicit syntactic interpretations FM Zanzotto, A Santilli, L Ranaldi, D Onorati, P Tommasino, F Fallucchi Proceedings of the 2020 conference on empirical methods in natural language …, 2020	52	2020
Expanding textual entailment corpora fromwikipedia using co-training FM Zanzotto, M Pennacchiotti Proceedings of the 2nd Workshop on The People’s Web Meets NLP …, 2010	50	2010

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