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Found 6 papers, 2 papers with code
NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension
We propose posing NER as a multi-question MRC task, where multiple questions (one question per entity) are considered at the same time for a single text.
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition
This paper proposes a Convolutional Neural Network (CNN) inspired by Multitask Learning (MTL) and based on speech features trained under the joint supervision of softmax loss and center loss, a powerful metric learning strategy, for the recognition of emotion in speech.
Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions
This paper proposes a speech emotion recognition method based on speech features and speech transcriptions (text).
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition
This paper proposes a Residual Convolutional Neural Network (ResNet) based on speech features and trained under Focal Loss to recognize emotion in speech.
A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks
Transfer Learning (TL) plays a crucial role when a given dataset has insufficient labeled examples to train an accurate model.
