Raphaël Bailly
2020
Emergence of Syntax Needs Minimal Supervision
Raphaël Bailly
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Kata Gábor
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance. Our approach originates in the observable structure of a corpus, which we use to define and isolate grammaticality (syntactic information) and meaning/pragmatics information. We describe the formal characteristics of an autonomous syntax and show that it becomes possible to search for syntax-based lexical categories with a simple optimization process, without any prior hypothesis on the form of the model.
2013
Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion
Raphaël Bailly
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Xavier Carreras
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Franco M. Luque
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Ariadna Quattoni
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
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