What is it about?

We presented the first-ever event detection approach for Urdu language text. Multiclass event classification is performed by popular deep learning (DL) models, i.e.,Convolution Neural Network (CNN), Recurrence Neural Network (RNN), and Deep Neural Network (DNN). The one-hot-encoding, word embedding, and term-frequency inverse document frequency- (TF-IDF-) based feature vectors are used to evaluate the Deep Learning(DL) models.

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Why is it important?

It is important to tag a sentence with the event it contains for supervised classification.


Used for Natural Language Processing tasks

Mujtaba Husnain
The Islamia Univrtsity of Bahawlpur

Read the Original

This page is a summary of: Multiclass Event Classification from Text, Scientific Programming, January 2021, Hindawi Publishing Corporation,
DOI: 10.1155/2021/6660651.
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