| OntoSenticNet: A commonsense ontology for sentiment analysis M Dragoni, S Poria, E Cambria IEEE Intelligent Systems 33 (3), 77-85, 2018 | 161 | 2018 |
| Combining NLP Approaches for Rule Extraction from Legal Documents M Dragoni, S Villata, W Rizzi, G Governatori 1st Workshop on MIning and REasoning with Legal texts (MIREL 2016), 2016 | 136* | 2016 |
| A Neural Word Embeddings Approach For Multi-Domain Sentiment Analysis M Dragoni, G Petrucci IEEE Transactions on Affective Computing 8 (4), 457 - 470, 2017 | 133 | 2017 |
| Large language models and knowledge graphs: Opportunities and challenges JZ Pan, S Razniewski, JC Kalo, S Singhania, J Chen, S Dietze, H Jabeen, ... arXiv preprint arXiv:2308.06374, 2023 | 117 | 2023 |
| An unsupervised aspect extraction strategy for monitoring real-time reviews stream M Dragoni, M Federici, A Rexha Information processing & management 56 (3), 1103-1118, 2019 | 112 | 2019 |
| The process model matching contest 2015 G Antunes, M Bakhshandeh, J Borbinha, J Cardoso, S Dadashnia, ... GI-Edition/Proceedings: Lecture notes in informatics 248, 127-155, 2015 | 87 | 2015 |
| Multidimensional relevance: Prioritized aggregation in a personalized Information Retrieval setting C da Costa Pereira, M Dragoni, G Pasi Information processing & management 48 (2), 340-357, 2012 | 80 | 2012 |
| A knowledge management architecture for digital cultural heritage M Dragoni, S Tonelli, G Moretti Journal on Computing and Cultural Heritage (JOCCH) 10 (3), 1-18, 2017 | 71 | 2017 |
| Explainable ai meets persuasiveness: Translating reasoning results into behavioral change advice M Dragoni, I Donadello, C Eccher Artificial Intelligence in Medicine 105, 101840, 2020 | 70 | 2020 |
| Helis: An ontology for supporting healthy lifestyles M Dragoni, T Bailoni, R Maimone, C Eccher The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018 | 70 | 2018 |
| Propagating and Aggregating Fuzzy Polarities for Concept-Level Sentiment Analysis M Dragoni, AGB Tettamanzi, C da Costa Pereira Cognitive Computation 7 (2), 186-197, 2015 | 70 | 2015 |
| A Fuzzy System for Concept-Level Sentiment Analysis M Dragoni, AGB Tettamanzi, C da Costa Pereira Semantic Web Evaluation Challenge SemWebEval 2014 at ESWC 2014, 21-27, 2014 | 69 | 2014 |
| A fuzzy-based strategy for multi-domain sentiment analysis M Dragoni, G Petrucci International Journal of Approximate Reasoning 93, 59-73, 2018 | 67 | 2018 |
| Extracting business process entities and relations from text using pre-trained language models and in-context learning P Bellan, M Dragoni, C Ghidini Enterprise Design, Operations, and Computing: 26th International Conference …, 2022 | 66 | 2022 |
| Multidimensional Relevance: a New Aggregation Criterion M DRAGONI, CC PEREIRA Lecture notes in computer science.-ISSN, 0302-9743, 2009 | 66 | 2009 |
| A conceptual representation of documents and queries for information retrieval systems by using light ontologies M Dragoni, C da Costa Pereira, AGB Tettamanzi Expert Systems with Applications 39 (12), 10376-10388, 2012 | 62 | 2012 |
| Knowledge Extraction for Information Retrieval F Corcoglioniti, M Dragoni, M Rospocher, AP Aprosio The Semantic Web. Latest Advances and New Domains - 13th International …, 2016 | 55 | 2016 |
| OntoSenticNet 2: Enhancing Reasoning within Sentiment Analysis M Dragoni, I Donadello, E Cambria IEEE Intelligent Systems 37 (2), 103-110, 2022 | 52 | 2022 |
| ESWC 15 Challenge on Concept-Level Sentiment Analysis DR Recupero, M Dragoni, V Presutti Semantic Web Evaluation Challenge, 211-222, 2015 | 47* | 2015 |
| A knowledge-based approach for aspect-based opinion mining M Federici, M Dragoni Semantic Web Challenges: Third SemWebEval Challenge at ESWC 2016, Heraklion …, 2016 | 43 | 2016 |
Chiara GhidiniFree University of Bozen-Bolzano確認したメール アドレス: unibz.it
