A visual question answering method based on task decomposition. [PDF]
Cong Y, Mo H.
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학위논문(박사) - 한국과학기술원 : 전산학과, 1993.8, [ iii, 87 p. ]Two problems on the parsing conflicts in LR(k) parsers, (1) computing the condition for two semikernel items to be in an LR(k) state and (2) reducing the number of states in a given LR(k) parser, are ...
Park, Woo-Jun, 박우전
core
LLM-guided population-based reinforcement learning: A scalable methodology for adaptive hyperparameter optimization. [PDF]
Chowdhury MTA +5 more
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Supervised machine learning applied in nursing notes for identifying the need of childhood cancer patients for psychosocial support. [PDF]
Reunamo A +3 more
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Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. [PDF]
Aljohani T, Cristea AI.
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Search in a Learnable Spoken Language Parser
. We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. The FeasPar architecture consists of neural networks and a search.
Alex Waibel, Finn Dag Buø
core
Identification and validation of respiratory virus immunization using natural language processing. [PDF]
Wilson KA +18 more
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Multi-task learning by using contextualized word representations for syntactic parsing of a morphologically rich language. [PDF]
Ehsan T +4 more
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Derivation of a typed functional LR parser
. This paper describes a purely functional implementation of LR parsing. We formally derive our parsers in a series of steps starting from the inverse of printing.
Ralf Hinze
core
Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets. [PDF]
Rani R +7 more
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