Francesco Piccinno
Francesco Piccinno
Verifierad e-postadress på google.com
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GERBIL: general entity annotator benchmarking framework
R Usbeck, M Röder, AC Ngonga Ngomo, C Baron, A Both, M Brümmer, ...
Proceedings of the 24th international conference on World Wide Web, 1133-1143, 2015
2032015
From TagME to WAT: a new entity annotator
F Piccinno, P Ferragina
Proceedings of the first international workshop on Entity recognition …, 2014
1222014
On analyzing hashtags in twitter
P Ferragina, F Piccinno, R Santoro
Ninth International AAAI Conference on Web and Social Media, 2015
332015
Revisiting taxonomy induction over wikipedia
A Gupta, F Piccinno, M Kozhevnikov, M Pasca, D Pighin
Proceedings of COLING 2016, the 26th International Conference on …, 2016
232016
Compressed indexes for string searching in labeled graphs
P Ferragina, F Piccinno, R Venturini
Proceedings of the 24th International Conference on World Wide Web, 322-332, 2015
92015
Document aboutness via sophisticated syntactic and semantic features
M Ponza, P Ferragina, F Piccinno
International Conference on Applications of Natural Language to Information …, 2017
72017
Swat: A system for detecting salient Wikipedia entities in texts
M Ponza, P Ferragina, F Piccinno
Computational Intelligence 35 (4), 858-890, 2019
62019
Generating logical forms from graph representations of text and entities
P Shaw, P Massey, A Chen, F Piccinno, Y Altun
arXiv preprint arXiv:1905.08407, 2019
52019
TAPAS: Weakly Supervised Table Parsing via Pre-training
J Herzig, PK Nowak, T Müller, F Piccinno, JM Eisenschlos
arXiv preprint arXiv:2004.02349, 2020
12020
Answering Conversational Questions on Structured Data without Logical Forms
T Müller, F Piccinno, M Nicosia, P Shaw, Y Altun
arXiv preprint arXiv:1908.11787, 2019
12019
Algorithms and data structures for big labeled graphs
F Piccinno
12017
S: A System for Detecting Salient Wikipedia Entities in Texts
M Ponza, P Ferragina, F Piccinno
arXiv preprint arXiv:1804.03580, 2018
2018
Evaluation of the PhD Thesis:” Algorithms and data structures for big labeled graphs”
F Piccinno, P Ferragina, R Venturini, D Pedreschi, S Ruggieri
2017
A framework for the distributed crawling and storage of Twitter, with applications
F PICCINNO
2013
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Artiklar 1–14