Feature Selection for Location Metonymy Using Augmented Bag-of-Words

Feature Selection for Location Metonymy Using Augmented Bag-of-Words

Location metonymy resolution is a study that deals with locations being used in a non-literal way that create problems in several natural language processing tasks such as Named entity recognition and Geographical parsing. Many studies were conducted attempting to accurately classify whether the loc...

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Bibliographic Details
Main Authors: Muhammad Elyas Meguellati, Rohana Binti Mahmud, Sameem Binti Abdul Kareem, Assaad Oussama Zeghina, Younes Saadi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Text classification
metonymy resolution
deep learning
feature selection
bag-of-words
natural language understanding
Online Access:https://ieeexplore.ieee.org/document/9845420/

Internet

https://ieeexplore.ieee.org/document/9845420/

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