An intelligent textual corpus big data computing approach for lexicons construction and sentiment classification of public emergency events
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DOI: 10.1007/s11042-018-7018-x
Abstract: Considering the deficiencies in the existing emotional lexicons like too many manual interventions, lack of scalability and ignorance of dependency parsing in emotional computing, this paper first uses Word2Vec, cosine word vector similarity calculation and… read more here.
Keywords: big data; dependency parsing; corpus big; textual corpus ... See more keywords
A Hybrid Deep Dependency Parsing Approach Enhanced With Rules and Morphology: A Case Study for Turkish
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DOI: 10.1109/access.2022.3202947
Abstract: Fully data-driven, deep learning-based models are usually designed as language-independent and have been shown to be successful for many natural language processing tasks. However, when the studied language is not high-resource and the amount of… read more here.
Keywords: parser rule; morphology; language; dependency parsing ... See more keywords
Nucleus Composition in Transition-based Dependency Parsing
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DOI: 10.1162/coli_a_00450
Abstract: Abstract Dependency-based approaches to syntactic analysis assume that syntactic structure can be analyzed in terms of binary asymmetric dependency relations holding between elementary syntactic units. Computational models for dependency parsing almost universally assume that an… read more here.
Keywords: dependency; composition; nucleus composition; transition based ... See more keywords