| Encoding sentences with graph convolutional networks for semantic role labeling D Marcheggiani, I Titov arXiv preprint arXiv:1703.04826, 2017 | 1020 | 2017 |
| Graph convolutional encoders for syntax-aware neural machine translation J Bastings, I Titov, W Aziz, D Marcheggiani, K Sima'an arXiv preprint arXiv:1704.04675, 2017 | 626 | 2017 |
| Exploiting semantics in neural machine translation with graph convolutional networks D Marcheggiani, J Bastings, I Titov arXiv preprint arXiv:1804.08313, 2018 | 242 | 2018 |
| A simple and accurate syntax-agnostic neural model for dependency-based semantic role labeling D Marcheggiani, A Frolov, I Titov arXiv preprint arXiv:1701.02593, 2017 | 139 | 2017 |
| Deep graph convolutional encoders for structured data to text generation D Marcheggiani, L Perez-Beltrachini arXiv preprint arXiv:1810.09995, 2018 | 135 | 2018 |
| Hierarchical multi-label conditional random fields for aspect-oriented opinion mining D Marcheggiani, O Täckström, A Esuli, F Sebastiani Advances in Information Retrieval: 36th European Conference on IR Research …, 2014 | 112 | 2014 |
| Discrete-state variational autoencoders for joint discovery and factorization of relations D Marcheggiani, I Titov Transactions of the Association for Computational Linguistics 4, 231-244, 2016 | 95 | 2016 |
| Word Embeddings Go to Italy: A Comparison of Models and Training Datasets. G Berardi, A Esuli, D Marcheggiani IIR, 2015 | 71 | 2015 |
| An enhanced CRFs-based system for information extraction from radiology reports A Esuli, D Marcheggiani, F Sebastiani Journal of biomedical informatics 46 (3), 425-435, 2013 | 69 | 2013 |
| Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling D Marcheggiani, I Titov In Proceedings of EMNLP, 2020, 2020 | 48 | 2020 |
| An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences D Marcheggiani, T Artieres 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2014 | 39 | 2014 |
| You shall know a user by the company it keeps: Dynamic representations for social media users in nlp M Del Tredici, D Marcheggiani, SS Walde, R Fernández arXiv preprint arXiv:1909.00412, 2019 | 38 | 2019 |
| ISTI@ TREC Microblog Track 2011: Exploring the Use of Hashtag Segmentation and Text Quality Ranking. G Berardi, A Esuli, D Marcheggiani, F Sebastiani TREC, 2011 | 33 | 2011 |
| On the effects of low-quality training data on information extraction from clinical reports D Marcheggiani, F Sebastiani Journal of Data and Information Quality (JDIQ) 9 (1), 1-25, 2017 | 17 | 2017 |
| A multi-lingual annotated dataset for aspect-oriented opinion mining SM Jiménez-Zafra, G Berardi, A Esuli, D Marcheggiani, ... Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 14 | 2015 |
| Sentence-Based Active Learning Strategies for Information Extraction A Esuli, D Marcheggiani, F Sebastiani First Italian Information Retrieval Workshop (IIR), 41-45, 2010 | 12 | 2010 |
| Bias beyond English: Counterfactual tests for bias in sentiment analysis in four languages S Goldfarb-Tarrant, A Lopez, R Blanco, D Marcheggiani arXiv preprint arXiv:2305.11673, 2023 | 8 | 2023 |
| Metadata enrichment services for the europeana digital library G Berardi, A Esuli, S Gordea, D Marcheggiani, F Sebastiani Theory and Practice of Digital Libraries: Second International Conference …, 2012 | 7 | 2012 |
| BookQA: Stories of Challenges and Opportunities S Angelidis, L Frermann, D Marcheggiani, R Blanco, L Màrquez arXiv preprint arXiv:1910.00856, 2019 | 5 | 2019 |
| Semantic Role Labeling D Marcheggiani, M Roth, I Titov, B Van Durme Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 5 | 2017 |
Ivan TitovUniversity of Edinburgh / University of Amsterdam在 inf.ed.ac.uk 的电子邮件经过验证
