Antonio Laverghetta Jr.


Curriculum vitae



Quantitative Analysis

Wesleyan University



Publications


2023


A survey of fatigue measures and models


Antonio Laverghetta Jr, Minh Tran, Alec Braynen, Stephen Steinle, Bekhzodbek Moydinboyev, Heba Daas, John Licato

The Journal of Defense Modeling and Simulation, 2023


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


Animesh Nighojkar, Antonio Laverghetta Jr., John Licato

Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), Association for Computational Linguistics, Toronto, Canada, 2023 Jul, pp. 199–210


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 (BEA 2023), Association for Computational Linguistics, 2023 Jul, pp. 414–428


2022


Predicting human psychometric properties using computational language models


Antonio Laverghetta, Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato

The Annual Meeting of the Psychometric Society, Springer, Cham, 2022, pp. 151--169


Developmental Negation Processing in Transformer Language Models


Antonio Laverghetta Jr, John Licato

arXiv preprint arXiv:2204.14114, 2022


2021


Exploring the Use of Neural Transformers for Psycholinguistics


Antonio Laverghetta Jr

University of South Florida, 2021


Modeling age of acquisition norms using transformer networks


Antonio Laverghetta Jr, John Licato

The International FLAIRS Conference Proceedings, vol. 34, 2021


Can Transformer Language Models Predict Psychometric Properties?


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

arXiv preprint arXiv:2106.06849, 2021


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


Jamshidbek Mirzakhalov, Anoop Babu, Duygu Ataman, Sherzod Kariev, Francis Tyers, Otabek Abduraufov, Mammad Hajili, Sardana Ivanova, Abror Khaytbaev, Antonio Laverghetta Jr, others

arXiv preprint arXiv:2109.04593, 2021


2020


Towards a task-agnostic model of difficulty estimation for supervised learning tasks


Antonio Laverghetta Jr, 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, pp. 16--23


2019


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


Mark Boger, Antonio Laverghetta, Nikolai Fetisov, John Licato

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), IEEE, 2019, pp. 1968--1975

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