Fabio Massimo Zanzotto

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Roberto BasiliUniversity of Rome, Tor Vergata (Italy)Verified email at info.uniroma2.it
Marco PennacchiottiBMW - Autonomous DrivingVerified email at bmw.de
Alessandro MoschittiPrincipal Scientist at Amazon AlexaVerified email at amazon.com
Francesca FallucchiAssistant Professor at Guglielmo Marconi UniversityVerified email at unimarconi.it
Fiorella GuadagniProfessor, San Raffaele Roma Open UniversityVerified email at sanraffaele.it
Noemi ScarpatoResearcher, Università Telematica San RaffaeleVerified email at unisanraffaele.gov.it
Patrizia FerroniUniversità Telematica San Raffaele RomaVerified email at sanraffaele.it
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Leonardo RanaldiUniversity of Rome Tor VergataVerified email at uniroma2.it
Nicoletta CalzolariDirector of Research, CNR-ILC, ItalyVerified email at ilc.cnr.it
Simonetta MontemagniDirector of Research, Istituto di Linguistica Computazionale (ILC-CNR)Verified email at ilc.cnr.it
Nadia ManaFBKVerified email at fbk.eu
Fabio PianesiResearch Director - EIT ICT LabsVerified email at fbk.eu
Michele VindigniAssistant Professor, University of Brescia, ItalyVerified email at eco.unibs.it
ALESSANDRO LENCIFull professor in linguistics, Università di PisaVerified email at unipi.it
Rodolfo DelmonteProfessore di linguistica computazionale, Ca' Foscari Università VeneziaVerified email at unive.it
Patrizia PaggioProfessor, Institute of Linguistics and Language Technology, University of MaltaVerified email at um.edu.mt
Ioannis KorkontzelosProfessor in Computer Science (Data Analytics), Department of Computer Science, Edge Hill UniversityVerified email at edgehill.ac.uk
Dario OnoratiSapienza University of RomeVerified email at uniroma1.it

Fabio Massimo Zanzotto

Associate Professor, University of Rome "Tor Vergata"

Verified email at uniroma2.it - Homepage

Artificial Intelligence Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Recognizing textual entailment: Models and applications I Dagan, D Roth, M Sammons, FM Zanzotto Synthesis Lectures on Human Language Technologies 6 (4), 1-220, 2013	404	2013
Terminology extraction: an analysis of linguistic and statistical approaches MT Pazienza, M Pennacchiotti, FM Zanzotto Knowledge Mining, 255-279, 2005	314	2005
Viewpoint: Human-in-the-loop Artificial Intelligence FM Zanzotto Journal of Artificial Intelligence Research 64, 243-252, 2019	216	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	173	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	173	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	107	2019
A machine learning approach to textual entailment recognition FM Zanzotto, M Pennacchiotti, A Moschitti Natural Language Engineering 15 (4), 551-582, 2009	95	2009
Parsing engineering and empirical robustness R Basili, FM Zanzotto Natural Language Engineering 8 (2-3), 97-120, 2002	94	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	82	2001
Linguistic redundancy in twitter FM Zanzotto, M Pennacchiotti, K Tsioutsiouliklis Proceedings of the Conference on Empirical Methods in Natural Language …, 2011	76	2011
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	70	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	59	2007
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	56	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	50	2017
Distributed tree kernels FM Zanzotto, L Dell'Arciprete International Conference on Machine Learning (ICML), 2012	49	2012
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	49	2010
Discovering asymmetric entailment relations between verbs using selectional preferences FM Zanzotto, M Pennacchiotti, MT Pazienza Proceedings of the 21st International Conference on Computational …, 2006	48	2006
Textual Entailment as Syntactic Graph Distance: a rule based and a SVM based approach MT Pazienza, M Pennacchiotti, FM Zanzotto Proceedings of the First PASCAL Challenges Workshop on Recognizing Textual …, 2005	47	2005
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	45	2020

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