Antonio Laverghetta

According to our database, Antonio Laverghetta authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring Prompting Approaches in Legal Textual Entailment.

Onur Bilgin, Logan Fields, Antonio Laverghetta, Zaid Marji, Animesh Nighojkar, Stephen Steinle, John Licato

Rev. Socionetwork Strateg., April, 2024

2023

No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference.

Animesh Nighojkar, Antonio Laverghetta Jr., John Licato

CoRR, 2023

Generating Better Items for Cognitive Assessments Using Large Language Models.

Antonio Laverghetta Jr., John Licato

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Predicting Human Psychometric Properties Using Computational Language Models.

Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato

CoRR, 2022

Developmental Negation Processing in Transformer Language Models.

Antonio Laverghetta Jr., John Licato

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Can Transformer Language Models Predict Psychometric Properties?

Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

Modeling Age of Acquisition Norms Using Transformer Networks.

Antonio Laverghetta Jr., John Licato

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

A Large-Scale Study of Machine Translation in Turkic Languages.

Jamshidbek Mirzakhalov, Anoop Babu, Duygu Ataman, Sherzod Kariev, Francis M. Tyers, Otabek Abduraufov, Mammad Hajili, Sardana Ivanova, Abror Khaytbaev, Antonio Laverghetta Jr., Behzodbek Moydinboyev, Esra Onal, Shaxnoza Pulatova, Ahsan Wahab, Orhan Firat, Sriram Chellappan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning Tasks.

Antonio Laverghetta, Jamshidbek Mirzakhalov, John Licato

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020

2019

Generating Near and Far Analogies for Educational Applications: Progress and Challenges.

Mark Boger, Antonio Laverghetta, Nikolai Fetisov, John Licato

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019