Professor Aline Villavicencio

简介

I am a Professor of Natural Language Processing. I was a Visiting Scholar at the Massachusetts Institute of Technology (USA) in the Department of Linguistics and Philosophy in 2014/2015 and in the Laboratory of Information and Decision Systems in 2011/2012. In 2014 I was a Visiting Scholar at the Labo­ra­toire LaTTiCe at the École Normale Supé­rieure (France), in 2012/2013 an Erasmus-Mundus Visiting Scholar at Saarland University (Germany) and from 2006-2009 at the Computer Science Department, University of Bath. From 2007-2017 I had a Research Fellowship from the Brazilian Scientific Research Council (CNPq).My research interests are in cognitively motivated NLP, multilinguality, and multimodality and applications like Text Simplification and Question Answering, for languages like English

代表成果

• Poibeau T & Villavicencio A (2017) Language, Cognition, and Computational Models. Cambridge University Press.
• Villavicencio A, Poibeau T, Korhonen A & Alishahi A (2013) Cognitive Aspects of Computational Language Acquisition. Springer Science & Business Media.
• Caseli HDM, Villavicencio A, Teixeira A & Perdigão F (2012) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface.
• (2011) Non‐Transformational Syntax. Wiley.
• (2002) Preface. Vandenhoeck & Ruprecht.
• Bansal M & Villavicencio A (Ed.) (2019) Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics (ACL). View this article in WRRO
• Villavicencio A, Moreira V, Abad A, Caseli H, Gamallo P, Ramisch C, Oliveira H & Paetzold G (Eds.) (2018) Computational Processing of the Portuguese Language - 13th International Conference (PROPOR 2018).. Springer.
• Yu Q, Zhao H, Xu Y, Wang M, Zhao Y, Fu H, Ye X, Villavicencio A, Lip GYH, Zheng Y & Meng Y (2026) DiffGeo-AOR: Diffusion-Optimized Medical Grading via Geometric Priors enhanced Autoregressive Ordinal Regression. IEEE Transactions on Medical Imaging, 1-1.
• Yu Q, Zhang C, Jin G, Huang T, Zhou W, Li W, Jin X, Huang B, Zhao Y, Yang G , Lip GYH et al (2026) StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors. IEEE Transactions on Image Processing, 35, 1290-1304.
• Demberg V, Inui K & Marquez L (2026) Front Matter. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers).