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Author

Enrico Santus

Observed names: 81696, E. Santus, Enrico, Santus, SANTUS, ENRICO, Santus E., Santus, E, Santus, Enrico
Observed institutions: University of Stuttgart, University of Pisa, Bloomberg (United States), Amazon (United States), Bar-Ilan University, Hong Kong Polytechnic University, Bayer (United States), Singapore University of Technology and Design, Singapore Institute of Technology, Georgetown University, Charles University, Aix-Marseille Université, Women's Brain Project, AI Singapore, MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Bayer (Germany), University of Naples Federico II, Sapienza University of Rome, Michigan State University, University of Hong Kong
ORCID: 0000-0002-7327-2731
Observed ORCID: 0000-0002-7327-2731
OpenAlex ID: A5059288410
Towards Debiasing Fact Verification Models
2019 · Tal Schuster, Darsh Shah, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 199
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Chasing Hypernyms in Vector Spaces with Entropy
2014 · Enrico Santus, Alessandro Lenci, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 121
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Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection
2017 · Vered Shwartz, Enrico Santus, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 103
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EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models
2015 · Enrico Santus, Frances Yung, et al. · 94
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GraphIE: A Graph-Based Framework for Information Extraction
2018 · Qian, Yujie, Santus, Enrico, et al. · arXiv (Cornell University) · 88
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SemEval-2018 Task 9: Hypernym Discovery
2018 · Jose Camacho-Collados, Claudio Delli Bovi, et al. · International Workshop on Semantic Evaluation (SemEval) · 79
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Decoding Word Embeddings with Brain-Based Semantic Features
2021 · Emmanuele Chersoni, Enrico Santus, et al. · Computational Linguistics · 57
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GraphIE: A Graph-Based Framework for Information Extraction
2019 · Yujie Qian, Enrico Santus, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 56
Towards AI-driven longevity research: An overview
2023 · Nicola Marino, Guido Putignano, et al. · Frontiers in Aging · 48
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IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
2019 · Zhijing Jin, Di Jin, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 47
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Nine Features in a Random Forest to Learn Taxonomical Semantic Relations
2016 · Enrico Santus, Alessandro Lenci, et al. · Language Resources and Evaluation Conference (LREC) · 46
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WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
2025 · Genta Indra Winata, Frederikus Hudi, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 45
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Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment
2021 · Alberto Ferrari, Enrico Santus, et al. · npj Digital Medicine · 36
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CMCL 2021 Shared Task on Eye-Tracking Prediction
2021 · Nora Hollenstein, Emmanuele Chersoni, et al. · Workshop on Cognitive Modeling and Computational Linguistics (CMCL) · 35
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Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development
2021 · Enrico Santus, Nicola Marino, et al. · Journal of Medical Internet Research · 34
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Deep Natural Language Processing to Identify Symptom Documentation in Clinical Notes for Patients With Heart Failure Undergoing Cardiac Resynchronization Therapy
2020 · Richard E. Leiter, Enrico Santus, et al. · Journal of Pain and Symptom Management · 31
Can machine learning improve patient selection for cardiac resynchronization therapy?
2019 · Szu-Yeu Hu, Enrico Santus, et al. · PLoS ONE · 31
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BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection
2021 · Beatrice Portelli, Edoardo Lenzi, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 29
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Measuring Thematic Fit with Distributional Feature Overlap
2017 · Enrico Santus, Emmanuele Chersoni, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 27
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Extensive evaluation of transformer-based architectures for adverse drug events extraction
2023 · Simone Scaboro, Beatrice Portelli, et al. · Knowledge-Based Systems · 26
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German in Flux: Detecting Metaphoric Change via Word Entropy
2017 · Dominik Schlechtweg, Stefanie Eckmann, et al. · Conference on Computational Natural Language Learning · 26
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IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
2019 · Jin, Zhijing, Jin, Di, et al. · arXiv (Cornell University) · 25
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Taking Antonymy Mask off in Vector Space
2014 · Enrico Santus, Qin Lu, et al. · Institutional Repositories DataBase (IRDB) · 25
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Digital biomarkers and sex impacts in Alzheimer’s disease management — potential utility for innovative 3P medicine approach
2022 · Robbert L. Harms, Alberto Ferrari, et al. · The EPMA Journal · 22
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Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets
2022 · Beatrice Portelli, Simone Scaboro, et al. · Journal of Medical Internet Research · 22
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Works count: 108
Citation count: 1,774
H-index: 23
I10-index: 44
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