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...
Glavni avtor: | Kuncoro, AS |
---|---|
Drugi avtorji: | Blunsom, P |
Format: | Thesis |
Jezik: | English |
Izdano: |
2022
|
Teme: |
Podobne knjige/članki
-
Incremental generative models for syntactic and semantic natural language processing
od: Buys, J
Izdano: (2017) -
Large Language Models are Not Models of Natural Language: They are Corpus Models
od: Csaba Veres
Izdano: (2022-01-01) -
Understanding video through the lens of language
od: Bain, M
Izdano: (2023) -
Simplicity and learning to distinguish arguments from modifiers
od: Leon Bergen, et al.
Izdano: (2022-12-01) -
Non-parametric deep learning with applications in active learning
od: Band, N
Izdano: (2022)