Search Results for author: Promod Yenigalla

Found 7 papers, 2 papers with code

NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension

no code implementations NAACL (ACL) 2022 Anubhav Shrimal, Avi Jain, Kartik Mehta, Promod Yenigalla

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.

Attribute Machine Reading Comprehension +3

AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue

no code implementations LREC 2020 Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla

The problem of building a coherent and non-monotonous conversational agent with proper discourse and coverage is still an area of open research.

Retrieval Sentence +1

Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition

no code implementations19 Jun 2019 Suraj Tripathi, Abhiram Ramesh, Abhay Kumar, Chirag Singh, Promod Yenigalla

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.

Metric Learning Speech Emotion Recognition

Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition

no code implementations11 Jun 2019 Suraj Tripathi, Abhay Kumar, Abhiram Ramesh, Chirag Singh, Promod Yenigalla

This paper proposes a Residual Convolutional Neural Network (ResNet) based on speech features and trained under Focal Loss to recognize emotion in speech.

Speech Emotion Recognition

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