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 |
Files in This Item:
File | Description | Size | Format | |
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PaperMissing.pdf Restricted Access | 29.86 kB | Adobe PDF | View/Open |
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