Extracting and encoding event sequences for use in recurrent neural networks

Extracting and encoding event sequences for use in recurrent neural networks

Abstract The area of story content generation has been widely explored in the field of natural language processing. Previously, analogy-based methodologies have been used to provide an approach to this task. However, with the improvement of tech-nology, more and more research have been tapping into r...

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Bibliographic Details
Main Author: Villaluna, Winfred Louie D.
Format: text
Language:English
Published: Animo Repository 2019
Subjects:
Natural language generation (Computer science)
Parsing (Computer grammar)
Computational linguistics
Computer Sciences
Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/6517
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/13531/viewcontent/Villaluna__Winfred_Louie_D.____w_border__Main_Document2___Extracting_and_Encoding_Event_Sequences.pdf
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Institution: De La Salle University
Language: English

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https://animorepository.dlsu.edu.ph/etd_masteral/6517
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/13531/viewcontent/Villaluna__Winfred_Louie_D.____w_border__Main_Document2___Extracting_and_Encoding_Event_Sequences.pdf

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