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Keywords = weighted context-free grammar

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13 pages, 264 KB  
Article
Split-Based Algorithm for Weighted Context-Free Grammar Induction
by Mateusz Gabor, Wojciech Wieczorek and Olgierd Unold
Appl. Sci. 2021, 11(3), 1030; https://doi.org/10.3390/app11031030 - 24 Jan 2021
Viewed by 2449
Abstract
The split-based method in a weighted context-free grammar (WCFG) induction was formalised and verified on a comprehensive set of context-free languages. WCFG is learned using a novel grammatical inference method. The proposed method learns WCFG from both positive and negative samples, whereas the [...] Read more.
The split-based method in a weighted context-free grammar (WCFG) induction was formalised and verified on a comprehensive set of context-free languages. WCFG is learned using a novel grammatical inference method. The proposed method learns WCFG from both positive and negative samples, whereas the weights of rules are estimated using a novel Inside–Outside Contrastive Estimation algorithm. The results showed that our approach outperforms in terms of F1 scores of other state-of-the-art methods. Full article
(This article belongs to the Special Issue Applied Artificial Intelligence (AI))
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