Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/10859
Title: Natural Language Processing for Associative Word Predictions
Authors: Grujić, Nebojša
Milovanović, Vladimir
Issue Date: 2019
Abstract: © 2019 IEEE. A potential of natural language processing to predict words based on their associative relations is assessed on a Serbian language dataset. The approach investigated is to use a number of different written materials, and see if a neural network can extract word associations just by reading regular texts. Evaluation is performed using ready made, publicly games of association. The final result exceeds 70% certainty of a correct solution within 100 most probable words in a vocabulary of over 150,000. Results are evaluated using different dataset sizes and preparation techniques with the idea of identifying impact of a particular approach.
URI: https://scidar.kg.ac.rs/handle/123456789/10859
Type: conferenceObject
DOI: 10.1109/EUROCON.2019.8861547
SCOPUS: 2-s2.0-85074208610
Appears in Collections:Faculty of Engineering, Kragujevac

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