ListarGI-LYS - Artigos por tema "Deep learning"
Mostrando ítems 1-5 de 5
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Building a New Sentiment Analysis Dataset for Uzbek Language and Creating Baseline Models
(2019-08-02)[Abstract] Making natural language processing technologies available for low-resource languages is an important goal to improve the access to technology in their communities of speakers. In this paper, we provide the first ... -
Dependency parsing with bottom-up Hierarchical Pointer Networks
(Elsevier, 2023-03)[Abstract] Dependency parsing is a crucial step towards deep language understanding and, therefore, widely demanded by numerous Natural Language Processing applications. In particular, left-to-right and top-down transition-based ... -
Discontinuous grammar as a foreign language
(Elsevier, 2023-03)[Abstract] In order to achieve deep natural language understanding, syntactic constituent parsing is a vital step, highly demanded by many artificial intelligence systems to process both text and speech. One of the most ... -
Multitask Pointer Network for Multi-Representational Parsing
(Elsevier, 2022-01-25)[Abstract] Dependency and constituent trees are widely used by many artificial intelligence applications for representing the syntactic structure of human languages. Typically, these structures are separately produced by ... -
Transition-based semantic role labeling with pointer networks
(Elsevier, 2023-01-25)[Abstract] Semantic role labeling (SRL) focuses on recognizing the predicate–argument structure of a sentence and plays a critical role in many natural language processing tasks such as machine translation and question ...
