Urmăriți
Emanuele Di Rosa
Emanuele Di Rosa
App2Check srl
Adresă de e-mail confirmată pe app2check.com - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Solving satisfiability problems with preferences
E Di Rosa, E Giunchiglia, M Maratea
Constraints 15, 485-515, 2010
862010
A new approach for solving satisfiability problems with qualitative preferences
E Di Rosa, E Giunchiglia, M Maratea
Proc. of the 18th European Conference on Artificial Intelligence (ECAI 2008 …, 2008
432008
Combining approaches for solving satisfiability problems with qualitative preferences
E Di Rosa, E Giunchiglia
AI Communications 26 (4), 395-408, 2013
232013
Semantic sentiment analysis challenge at ESWC2017
D Reforgiato Recupero, E Cambria, E Di Rosa
Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, Portoroz …, 2017
202017
“Excavate and learn”: Enhancing visitor experience with touch and NFC
E Di Rosa, F Benente
2013 Digital Heritage International Congress (DigitalHeritage) 2, 689-692, 2013
72013
Irony detection in tweets: X2Check at Ironita 2018
E Di Rosa, A Durante
EVALITA Evaluation of NLP and Speech Tools for Italian 12, 157, 2018
62018
App2Check: a Machine Learning-based System for Sentiment Analysis of App Reviews in Italian Language.
E Di Rosa, A Durante
SIDEWAYS@ LREC, 8-13, 2016
62016
Computing all optimal solutions in satisfiability problems with preferences
E Di Rosa, E Giunchiglia, M Maratea
Principles and Practice of Constraint Programming: 14th International …, 2008
52008
App2check extension for sentiment analysis of amazon products reviews
E Di Rosa, A Durante
Semantic Web Evaluation Challenge, 95-107, 2016
42016
Tweet2Check evaluation at Evalita Sentipolc 2016
E Di Rosa, A Durante
EVALITA. Evaluation of NLP and Speech Tools for Italian, 189, 2016
42016
System and method for extracting information from unstructured or semi-structured textual sources
E Di Rosa, A Bonfiglio, M Narizzano, P Perotto
US Patent App. 16/802,947, 2020
3*2020
App2Check@ ATE ABSITA 2020: Aspect Term Extraction and Aspect-based Sentiment Analysis
E Di Rosa, A Durante
Proceedings of the 7th evaluation campaign of Natural Language Processing …, 2020
32020
Optimal stopping methods for finding high quality solutions to satisfiability problems with preferences
E Di Rosa, E Giunchiglia, B O'Sullivan
Proceedings of the 2011 ACM Symposium on Applied Computing, 901-906, 2011
32011
Automatic generation of high quality test sets via CBMC.
E Di Rosa, E Giunchiglia, M Narizzano, G Palma, A Puddu
VERIFY@ IJCAR, 65-78, 2010
32010
App2Check at EMit: Large Language Models for Multilabel Emotion Classification
G Cageggi, E Di Rosa, A Uboldi
22023
Aspect-based sentiment analysis: X2check at absita 2018
E Di Rosa, A Durante
EVALITA Evaluation of NLP and Speech Tools for Italian 12, 103, 2018
22018
Evaluating industrial and research sentiment analysis engines on multiple sources
E Di Rosa, A Durante
AI* IA 2017 Advances in Artificial Intelligence: XVIth International …, 2017
22017
SAT&PREF system description
E Di Rosa, E Giunchiglia
available here: http://www. star. dist. unige. it/emanuele/Data/10DiRosa …, 0
2
Combining approaches for solving Satisfiability problems with Preferences and their Evaluation
E Di Rosa, E Giunchiglia, B O’Sullivan
available here: http://www. star. dist. unige. it/emanuele/Data/10DiRosa …, 0
2
Irony Detection in Tweets: X2Check at Ironita 2018 (Short Paper).
E Di Rosa, A Durante
EVALITA@ CLiC-it, 2018
2018
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–20