Scalable syntactic inductive biases for neural language models
<p>Natural language has a sequential surface form, although its underlying structure has been argued to be hierarchical and tree-structured in nature, whereby smaller linguistic units like words are recursively composed to form larger ones, such as phrases and sentences. This thesis aims to an...
المؤلف الرئيسي: | Kuncoro, AS |
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مؤلفون آخرون: | Blunsom, P |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2022
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الموضوعات: |
مواد مشابهة
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Incremental generative models for syntactic and semantic natural language processing
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Simplicity and learning to distinguish arguments from modifiers
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Non-parametric deep learning with applications in active learning
حسب: Band, N
منشور في: (2022)