Fabio Massimo Zanzotto
Fabio Massimo Zanzotto
Associate Professor, University of Rome "Tor Vergata"
Bestätigte E-Mail-Adresse bei uniroma2.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2902013
Terminology extraction: an analysis of linguistic and statistical approaches
MT Pazienza, M Pennacchiotti, FM Zanzotto
Knowledge Mining, 255-279, 2005
2552005
Building the Italian syntactic-semantic treebank
S Montemagni, F Barsotti, M Battista, N Calzolari, O Corazzari, A Lenci, ...
Treebanks, 189-210, 2003
1552003
Estimating linear models for compositional distributional semantics
FM Zanzotto, I Korkontzelos, F Fallucchi, S Manandhar
Proceedings of the 23rd International Conference on Computational …, 2010
1522010
Parsing engineering and empirical robustness
R Basili, FM Zanzotto
Natural Language Engineering 8 (2-3), 97-120, 2002
952002
A machine learning approach to textual entailment recognition
FM Zanzotto, M Pennacchiotti, A Moschitti
Natural Language Engineering 15 (4), 551-582, 2009
902009
Automatic learning of textual entailments with cross-pair similarities
FM Zanzotto, A Moschitti
International conference on computational linguistics and the 44th Annual …, 2006
852006
A contrastive approach to term extraction
R Basili, A Moschitti, MT Pazienza, FM Zanzotto
Proceedings of the 4th Terminology and Artificial Intelligence Conference …, 2001
772001
Linguistic redundancy in twitter
FM Zanzotto, M Pennacchiotti, K Tsioutsiouliklis
Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011
672011
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
572007
Viewpoint: Human-in-the-loop Artificial Intelligence
FM Zanzotto
Journal of Artificial Intelligence Research 64, 243-252, 2019
482019
Discovering asymmetric entailment relations between verbs using selectional preferences
FM Zanzotto, M Pennacchiotti, MT Pazienza
Proceedings of the 21st International Conference on Computational …, 2006
472006
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
442005
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
432010
Distributed tree kernels
FM Zanzotto, L Dell'Arciprete
International Conference on Machine Learning (ICML), 2012
422012
Efficient parsing for information extraction
R Basili, MT Pazienza, FM Zanzotto
Proceedings of the 13th European Conference on Artificial Intelligence (ECAI …, 1998
42*1998
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
412019
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
402017
Syntactic/semantic structures for textual entailment recognition
Y Mehdad, A Moschitti, FM Zanzotto
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
382010
Learning textual entailment from examples
FM Zanzotto, A Moschitti, M Pennacchiotti, MT Pazienza
Second PASCAL recognizing textual entailment challenge, 50, 2006
382006
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