Marco Baroni
Marco Baroni's Homepage Welcome to my homepage! I am an ICREA research professor, affiliated with the Department of Linguistics at Pompeu Fabra University, in Barcelona (here is my ICREA page).
Marco Baroni's Research
N. Rakotonirina and M. Baroni. 2024. MemoryPrompt: A light wrapper to improve context tracking in pre-trained language models. Proceedings of LREC-Coling 2024 (Joint International Conference on Computational Linguistics, Language Resources and Evaluation):11187-11195.
The SICK data set - Marco Baroni
M. Marelli, S. Menini, M. Baroni, L. Bentivogli, R. Bernardi and R. Zamparelli (2014). A SICK cure for the evaluation of compositional distributional semantic models. Proceedings of LREC 2014 , Reykjavik (Iceland): ELRA, 216-223.
Tools and Resources - Marco Baroni
BLESS (Baroni-Lenci Evaluation of Semantic Similarity), a large data set to evaluate computational models of semantic similarity; DM : trained model (weighted word-link-word tuples) and utility scripts;
The ALiEN Project - Marco Baroni
ALiEN (Autonomous Linguistic Emergence in Neural Networks) is a 5-year project (2022-2026) funded within the European Union's Horizon 2020 research and innovation program through an European Research Council 2020 Advanced Grant (grant nr. 101019291; PE6: Computer Science and Informatics panel).The aim of ALiEN is to let deep neural networks develop a shared communication protocol from the ...
Marco Baroni Center for Mind/Brain Sciences University of Trento VL’15 Lisbon, Portugal
Marco Baroni and Silvia Bernardini SSLMIT, University of Bologna Corso della Repubblica 136, 47100 Forl`ı, Italy fbaroni,[email protected] Abstract This paper introduces the BootCaT toolkit, a suite of perl programs implementing an iterative procedure to bootstrap specialized corpora and terms from the web.
Marco Baroni University of Trento Trento, Italy [email protected] Alessandro Lenci University of Pisa Pisa, Italy [email protected] Abstract We propose an approach to corpus-based semantics, inspired by cognitive science, in which different semantic tasks are tack-led using the same underlying reposi-tory of distributional ...
phenomena (Baroni & Lenci, 2010), thus simulating the flexibility and breadth of human semantic knowledge. Distributional semantic models (and their extensions, such as probabilistic topic models; Blei, Ng, & Jordan, 2003; Griffiths, Steyvers, & Tenenbaum, 2007) have also proved successful at simulating a wide range of psycholinguistic data,
COMPOSES - marcobaroni.org
E. Vecchi, M. Marelli, R. Zamparelli and M. Baroni. 2017. Spicy adjectives and nominal donkeys: Capturing semantic deviance using compositionality in distributional spaces. Cognitive Science 41(1): 102-136.