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ORCIDEnrico Santus
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2020 – today
- 2023
[j7]Simone Scaboro
, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
Extensive evaluation of transformer-based architectures for adverse drug events extraction. Knowl. Based Syst. 275: 110675 (2023)- [i27]Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction. CoRR abs/2306.05276 (2023) - 2022
- [c34]Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
AILAB-Udine@SMM4H'22: Limits of Transformers and BERT Ensembles. SMM4H@COLING 2022: 130-134 - [c33]Beatrice Portelli, Simone Scaboro, Enrico Santus, Hooman Sedghamiz, Emmanuele Chersoni, Giuseppe Serra:
Generalizing over Long Tail Concepts for Medical Term Normalization. EMNLP 2022: 8580-8591 - [c32]Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
Negation Detection for Robust Adverse Drug Event Extraction From Social Media Texts. IRCDL 2022 - [e3]Michael Zock, Emmanuele Chersoni, Yu-Yin Hsu, Enrico Santus:
Proceedings of the Workshop on Cognitive Aspects of the Lexicon, CogALex@AACL/IJCNLP, Taipei, Taiwan, November 20, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-01-2 [contents] - [e2]Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na:
Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022. International Committee on Computational Linguistics 2022 [contents] - [i26]Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation. CoRR abs/2209.02812 (2022) - [i25]Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles. CoRR abs/2209.03452 (2022) - [i24]Beatrice Portelli, Simone Scaboro, Enrico Santus, Hooman Sedghamiz, Emmanuele Chersoni, Giuseppe Serra:
Generalizing over Long Tail Concepts for Medical Term Normalization. CoRR abs/2210.11947 (2022) - 2021
- [j6]Emmanuele Chersoni, Enrico Santus, Chu-Ren Huang, Alessandro Lenci:
Decoding Word Embeddings with Brain-Based Semantic Features. Comput. Linguistics 47(3): 663-698 (2021) - [j5]Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache, Chu-Ren Huang:
Not all arguments are processed equally: a distributional model of argument complexity. Lang. Resour. Evaluation 55(4): 873-900 (2021) - [j4]Alberto Ferrari, Enrico Santus, Davide Cirillo, Miguel Ponce de Leon, Nicola Marino, Maria Teresa Ferretti, Antonella Santuccione Chadha, Nikolaos Mavridis, Alfonso Valencia:
Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment. npj Digit. Medicine 4 (2021) - [j3]Jiaming Luo, Frederik Hartmann, Enrico Santus, Yuan Cao, Regina Barzilay:
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior. Trans. Assoc. Comput. Linguistics 9: 69-81 (2021) - [c31]Nora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus:
CMCL 2021 Shared Task on Eye-Tracking Prediction. CMLS 2021: 72-78 - [c30]Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations. W-NUT 2021: 230-237 - [c29]Beatrice Portelli, Edoardo Lenzi, Emmanuele Chersoni, Giuseppe Serra, Enrico Santus:
BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection. EACL 2021: 1740-1747 - [c28]Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) 2021: 3398-3403 - [c27]Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni:
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. EMNLP (Findings) 2021: 3534-3546 - [c26]Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache:
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge. *SEM 2021: 1-11 - [e1]Emmanuele Chersoni, Nora Hollenstein, Cassandra Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus:
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2021, Online, June 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-35-0 [contents] - [i23]Beatrice Portelli, Daniele Passabì, Edoardo Lenzi, Giuseppe Serra, Enrico Santus, Emmanuele Chersoni:
Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies. CoRR abs/2105.08882 (2021) - [i22]Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache:
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge. CoRR abs/2107.10922 (2021) - [i21]Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni:
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. CoRR abs/2109.05815 (2021) - [i20]Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR abs/2109.07424 (2021) - [i19]Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations. CoRR abs/2109.10080 (2021) - 2020
- [c25]Emmanuele Chersoni, Ludovica Pannitto, Enrico Santus, Alessandro Lenci, Chu-Ren Huang:
Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit? LREC 2020: 5708-5713 - [i18]Jiaming Luo, Frederik Hartmann, Enrico Santus, Yuan Cao, Regina Barzilay:
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior. CoRR abs/2010.11054 (2020)
2010 – 2019
- 2019
- [j2]Hongchao Liu, Emmanuele Chersoni, Natalia Klyueva, Enrico Santus, Chu-Ren Huang:
Semantic Relata for the Evaluation of Distributional Models in Mandarin Chinese. IEEE Access 7: 145705-145713 (2019) - [j1]Emmanuele Chersoni, Enrico Santus, Ludovica Pannitto, Alessandro Lenci, Philippe Blache, Chu-Ren Huang:
A structured distributional model of sentence meaning and processing. Nat. Lang. Eng. 25(4): 483-502 (2019) - [c24]Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus:
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. EMNLP/IJCNLP (1) 2019: 3095-3107 - [c23]Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay:
Towards Debiasing Fact Verification Models. EMNLP/IJCNLP (1) 2019: 3417-3423 - [c22]Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay:
GraphIE: A Graph-Based Framework for Information Extraction. NAACL-HLT (1) 2019: 751-761 - [i17]Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus:
Unsupervised Text Style Transfer via Iterative Matching and Translation. CoRR abs/1901.11333 (2019) - [i16]Emmanuele Chersoni, Enrico Santus, Ludovica Pannitto, Alessandro Lenci, Philippe Blache, Chu-Ren Huang:
A Structured Distributional Model of Sentence Meaning and Processing. CoRR abs/1906.07280 (2019) - [i15]Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay:
Towards Debiasing Fact Verification Models. CoRR abs/1908.05267 (2019) - 2018
- [c21]Enrico Santus, Hongmin Wang, Emmanuele Chersoni, Yue Zhang:
A Rank-Based Similarity Metric for Word Embeddings. ACL (2) 2018: 552-557 - [c20]José Camacho-Collados, Claudio Delli Bovi, Luis Espinosa Anke, Sergio Oramas, Tommaso Pasini, Enrico Santus, Vered Shwartz, Roberto Navigli, Horacio Saggion:
SemEval-2018 Task 9: Hypernym Discovery. SemEval@NAACL-HLT 2018: 712-724 - [c19]Enrico Santus, Chris Biemann, Emmanuele Chersoni:
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes. SemEval@NAACL-HLT 2018: 990-994 - [i14]Enrico Santus, Chris Biemann, Emmanuele Chersoni:
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes. CoRR abs/1804.11251 (2018) - [i13]Enrico Santus, Hongmin Wang, Emmanuele Chersoni, Yue Zhang:
A Rank-Based Similarity Metric for Word Embeddings. CoRR abs/1805.01923 (2018) - [i12]Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay:
GraphIE: A Graph-Based Framework for Information Extraction. CoRR abs/1810.13083 (2018) - 2017
- [c18]Dominik Schlechtweg, Stefanie Eckmann, Enrico Santus, Sabine Schulte im Walde, Daniel Hole:
German in Flux: Detecting Metaphoric Change via Word Entropy. CoNLL 2017: 354-367 - [c17]Vered Shwartz, Enrico Santus, Dominik Schlechtweg:
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. EACL (1) 2017: 65-75 - [c16]Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache:
Measuring Thematic Fit with Distributional Feature Overlap. EMNLP 2017: 648-658 - [c15]Emmanuele Chersoni, Enrico Santus, Philippe Blache, Alessandro Lenci:
Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics? IWCS(1) 2017 - [i11]Dominik Schlechtweg, Stefanie Eckmann, Enrico Santus, Sabine Schulte im Walde, Daniel Hole:
German in Flux: Detecting Metaphoric Change via Word Entropy. CoRR abs/1706.04971 (2017) - [i10]Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache:
Measuring Thematic Fit with Distributional Feature Overlap. CoRR abs/1707.05967 (2017) - [i9]Emmanuele Chersoni, Enrico Santus, Philippe Blache, Alessandro Lenci:
Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics? CoRR abs/1710.00998 (2017) - 2016
- [c14]Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
Unsupervised Measure of Word Similarity: How to Outperform Co-Occurrence and Vector Cosine in VSMs. AAAI 2016: 4260-4261 - [c13]Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms. AAAI 2016: 4262-4263 - [c12]Enrico Santus, Anna Gladkova, Stefan Evert, Alessandro Lenci:
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations. CogALex@COLING 2016: 69-79 - [c11]Emmanuele Chersoni, Giulia Rambelli, Enrico Santus:
CogALex-V Shared Task: ROOT18. CogALex@COLING 2016: 98-103 - [c10]Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache, Chu-Ren Huang:
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity. EMNLP 2016: 1967-1972 - [c9]Hongchao Liu, Karl David Neergaard, Enrico Santus, Chu-Ren Huang:
EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs. LREC 2016 - [c8]Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
Nine Features in a Random Forest to Learn Taxonomical Semantic Relations. LREC 2016 - [c7]Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets. LREC 2016 - [c6]Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Chu-Ren Huang, Philippe Blache:
Testing APSyn against Vector Cosine on Similarity Estimation. PACLIC 2016 - [i8]Enrico Santus, Tin-Shing Chiu, Qin Lu, Alessandro Lenci, Chu-Ren Huang:
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets. CoRR abs/1603.08701 (2016) - [i7]Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
Nine Features in a Random Forest to Learn Taxonomical Semantic Relations. CoRR abs/1603.08702 (2016) - [i6]Enrico Santus, Tin-Shing Chiu, Qin Lu, Alessandro Lenci, Chu-Ren Huang:
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms. CoRR abs/1603.08705 (2016) - [i5]Enrico Santus, Tin-Shing Chiu, Qin Lu, Alessandro Lenci, Chu-Ren Huang:
Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs. CoRR abs/1603.09054 (2016) - [i4]Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache, Chu-Ren Huang:
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity. CoRR abs/1607.02061 (2016) - [i3]Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Chu-Ren Huang, Philippe Blache:
Testing APSyn against Vector Cosine on Similarity Estimation. CoRR abs/1608.07738 (2016) - [i2]Emmanuele Chersoni, Giulia Rambelli, Enrico Santus:
CogALex-V Shared Task: ROOT18. CoRR abs/1611.01101 (2016) - [i1]Vered Shwartz, Enrico Santus, Dominik Schlechtweg:
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. CoRR abs/1612.04460 (2016) - 2015
- [c5]Enrico Santus, Frances Yung, Alessandro Lenci, Chu-Ren Huang:
EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models. LDL@IJCNLP 2015: 64-69 - [c4]Piyoros Tungthamthiti, Enrico Santus, Hongzhi Xu, Chu-Ren Huang, Kiyoaki Shirai:
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets. PACLIC 2015 - [c3]Hongzhi Xu, Enrico Santus, Anna Laszlo, Chu-Ren Huang:
LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets. SemEval@NAACL-HLT 2015: 673-678 - 2014
- [c2]Enrico Santus, Alessandro Lenci, Qin Lu, Sabine Schulte im Walde:
Chasing Hypernyms in Vector Spaces with Entropy. EACL 2014: 38-42 - [c1]Enrico Santus, Qin Lu, Alessandro Lenci, Chu-Ren Huang:
Taking Antonymy Mask off in Vector Space. PACLIC 2014: 135-144
Coauthor Index
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