56 citations · 58 across the 3 of their papers we have counts for
4 papers
NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension
Anubhav Shrimal, Avi Jain, Kartik Mehta +1
NER has been traditionally formulated as a sequence labeling task. However, there has been recent trend in posing NER as a machine reading comprehension task (Wang et al., 2020; Me…
Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions
Suraj Tripathi, Abhay Kumar, Abhiram Ramesh +2
This paper proposes a speech emotion recognition method based on speech features and speech transcriptions (text). Speech features such as Spectrogram and Mel-frequency Cepstral Co…
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition
Suraj Tripathi, Abhiram Ramesh, Abhay Kumar +2
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 c…
A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks
Tushar Semwal, Gaurav Mathur, Promod Yenigalla +1
Transfer Learning (TL) plays a crucial role when a given dataset has insufficient labeled examples to train an accurate model. In such scenarios, the knowledge accumulated within a…