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Tommaso Pasini
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2020 – today
- 2024
- [i5]Tommaso Pasini, Alejo López-Ávila, Husam Quteineh, Gerasimos Lampouras, Jinhua Du, Yubing Wang, Ze Li, Yusen Sun:
Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming. CoRR abs/2405.05176 (2024) - 2022
- [c26]Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects. AAAI 2022: 11267-11275 - [c25]Ilias Chalkidis, Tommaso Pasini, Sheng Zhang, Letizia Tomada, Sebastian Felix Schwemer, Anders Søgaard:
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing. ACL (1) 2022: 4389-4406 - [c24]Niccolò Campolungo, Tommaso Pasini, Denis Emelin, Roberto Navigli:
Reducing Disambiguation Biases in NMT by Leveraging Explicit Word Sense Information. NAACL-HLT 2022: 4824-4838 - [i4]Ilias Chalkidis, Tommaso Pasini, Sheng Zhang, Letizia Tomada, Sebastian Felix Schwemer, Anders Søgaard:
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing. CoRR abs/2203.07228 (2022) - 2021
- [c23]Tommaso Pasini, Alessandro Raganato, Roberto Navigli:
XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation. AAAI 2021: 13648-13656 - [c22]Rexhina Blloshmi, Tommaso Pasini, Niccolò Campolungo, Somnath Banerjee, Roberto Navigli, Gabriella Pasi:
IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages. EMNLP (1) 2021: 1030-1041 - [c21]Sebastian Felix Schwemer, Letizia Tomada, Tommaso Pasini:
Legal AI Systems in the EU's proposed Artificial Intelligence Act. ASAIL/LegalAIIA@ICAIL 2021: 51-58 - [c20]Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli:
Exemplification Modeling: Can You Give Me an Example, Please? IJCAI 2021: 3779-3785 - [c19]Caterina Lacerra, Tommaso Pasini, Rocco Tripodi, Roberto Navigli:
ALaSca: an Automated approach for Large-Scale Lexical Substitution. IJCAI 2021: 3836-3842 - [c18]Michele Bevilacqua, Tommaso Pasini, Alessandro Raganato, Roberto Navigli:
Recent Trends in Word Sense Disambiguation: A Survey. IJCAI 2021: 4330-4338 - [c17]Iacer Calixto, Alessandro Raganato, Tommaso Pasini:
Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks. NAACL-HLT 2021: 3651-3661 - [c16]Edoardo Barba, Tommaso Pasini, Roberto Navigli:
ESC: Redesigning WSD with Extractive Sense Comprehension. NAACL-HLT 2021: 4661-4672 - 2020
- [j2]Tommaso Pasini, Roberto Navigli:
Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort. Artif. Intell. 279 (2020) - [c15]Caterina Lacerra, Michele Bevilacqua, Tommaso Pasini, Roberto Navigli:
CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation. AAAI 2020: 8123-8130 - [c14]Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation. AAAI 2020: 8758-8765 - [c13]Tommaso Pasini, Federico Scozzafava, Bianca Scarlini:
CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages. ACL 2020: 4008-4018 - [c12]Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation. EMNLP (1) 2020: 3528-3539 - [c11]Alessandro Raganato, Tommaso Pasini, José Camacho-Collados, Mohammad Taher Pilehvar:
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization. EMNLP (1) 2020: 7193-7206 - [c10]Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli:
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation. IJCAI 2020: 3837-3844 - [c9]Tommaso Pasini:
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation. IJCAI 2020: 4936-4942 - [c8]Tommaso Pasini, José Camacho-Collados:
A Short Survey on Sense-Annotated Corpora. LREC 2020: 5759-5765 - [c7]Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
Sense-Annotated Corpora for Word Sense Disambiguation in Multiple Languages and Domains. LREC 2020: 5905-5911 - [i3]Alessandro Raganato, Tommaso Pasini, José Camacho-Collados, Mohammad Taher Pilehvar:
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization. CoRR abs/2010.06478 (2020)
2010 – 2019
- 2019
- [b1]Tommaso Pasini:
Knowledge-based approaches to producing large-scale training data from scratch for Word Sense Disambiguation and Sense Distribution Learning. Sapienza University of Rome, Italy, 2019 - [c6]Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
Just "OneSeC" for Producing Multilingual Sense-Annotated Data. ACL (1) 2019: 699-709 - 2018
- [c5]Tommaso Pasini, Roberto Navigli:
Two Knowledge-based Methods for High-Performance Sense Distribution Learning. AAAI 2018: 5374-5381 - [c4]Tommaso Pasini, Francesco Elia, Roberto Navigli:
Huge Automatically Extracted Training-Sets for Multilingual Word SenseDisambiguation. LREC 2018 - [c3]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 - [i2]Tommaso Pasini, José Camacho-Collados:
A Short Survey on Sense-Annotated Corpora for Diverse Languages and Resources. CoRR abs/1802.04744 (2018) - [i1]Tommaso Pasini, Francesco Maria Elia, Roberto Navigli:
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation. CoRR abs/1805.04685 (2018) - 2017
- [c2]Tommaso Pasini, Roberto Navigli:
Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data. EMNLP 2017: 78-88 - 2016
- [j1]Tiziano Flati, Daniele Vannella, Tommaso Pasini, Roberto Navigli:
MultiWiBi: The multilingual Wikipedia bitaxonomy project. Artif. Intell. 241: 66-102 (2016) - 2014
- [c1]Tiziano Flati, Daniele Vannella, Tommaso Pasini, Roberto Navigli:
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project. ACL (1) 2014: 945-955
Coauthor Index
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last updated on 2024-06-14 18:10 CEST by the dblp team
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