Fabio Massimo Zanzotto

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	All	Since 2016
Citations	2559	976
h-index	26	15
i10-index	54	23

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Co-authors

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 disi.unitn.it
Patrizia FerroniUniversità Telematica San Raffaele RomaVerified email at sanraffaele.it
Noemi ScarpatoResearcher, Università Telematica San RaffaeleVerified email at unisanraffaele.gov.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
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Nadia ManaFBKVerified email at fbk.eu
Fabio PianesiResearch Director - EIT ICT LabsVerified email at fbk.eu
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
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
Michele VindigniAssistant Professor, University of Brescia, ItalyVerified email at eco.unibs.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
Armando StellatoUniversity of Rome Tor VergataVerified email at uniroma2.it
Suresh ManandharWiseyakVerified email at wiseyak.com
Alessandro OltramariBosch Research and Technology CenterVerified email at us.bosch.com
Dorte Haltrup HansenVerified email at hum.ku.dk

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	283	2013
Terminology extraction: an analysis of linguistic and statistical approaches MT Pazienza, M Pennacchiotti, FM Zanzotto Knowledge Mining, 255-279, 2005	247	2005
Building the Italian syntactic-semantic treebank S Montemagni, F Barsotti, M Battista, N Calzolari, O Corazzari, A Lenci, ... Treebanks, 189-210, 2003	154	2003
Estimating linear models for compositional distributional semantics FM Zanzotto, I Korkontzelos, F Fallucchi, S Manandhar Proceedings of the 23rd International Conference on Computational …, 2010	150	2010
Parsing engineering and empirical robustness R Basili, FM Zanzotto US 8, 97-120, 2002	95	2002
A machine learning approach to textual entailment recognition FM Zanzotto, M Pennacchiotti, A Moschitti Cambridge University Press 15 (4), 551-582, 2009	90	2009
Automatic learning of textual entailments with cross-pair similarities FM Zanzotto, A Moschitti International conference on computational linguistics and the 44th Annual …, 2006	85	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	76	2001
Linguistic redundancy in twitter FM Zanzotto, M Pennacchiotti, K Tsioutsiouliklis Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011	65	2011
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	56	2007
Discovering asymmetric entailment relations between verbs using selectional preferences FM Zanzotto, M Pennacchiotti, MT Pazienza Proceedings of the 21st International Conference on Computational …, 2006	47	2006
Textual entailment as syntactic graph distance: a rule based and a SVM based approach MT Pazienza, M Pennacchiotti, FM Zanzotto Proceedings of the Pattern Analysis, Statistical Modelling, and …, 2005	43	2005
Distributed tree kernels FM Zanzotto, L Dell'Arciprete International Conference on Machine Learning (ICML), 2012	42	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	42	2010
Efficient parsing for information extraction R Basili, MT Pazienza, FM Zanzotto Proceedings of the 13th European Conference on Artificial Intelligence (ECAI …, 1998	42*	1998
Viewpoint: Human-in-the-loop Artificial Intelligence FM Zanzotto Journal of Artificial Intelligence Research 64, 243-252, 2019	39	2019
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	38	2017
Syntactic/semantic structures for textual entailment recognition Y Mehdad, A Moschitti, FM Zanzotto Human Language Technologies: The 2010 Annual Conference of the North …, 2010	38	2010
Learning textual entailment from examples FM Zanzotto, A Moschitti, M Pennacchiotti, MT Pazienza Second PASCAL recognizing textual entailment challenge, 50, 2006	38	2006
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	35	2019

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