no code implementations • ICON 2020 • Bharatram Natarajan, Dharani Simma, Chirag Singh, Anish Nediyanchath, Sreoshi Sengupta
Semantic slot prediction is one of the important task for natural language understanding (NLU).
no code implementations • SEMEVAL 2021 • Chandan Kumar Pandey, Chirag Singh, Karan Mangla
This paper describes Humor-BERT, a set of BERT Large based models that we used in the SemEval-2021 Task 7: Detecting and Rating Humor and Offense.
no code implementations • 25 Sep 2019 • Suraj Tripathi, Chirag Singh, Abhay Kumar
And our proposed decoder network serves the purpose of reducing the transformation present in the input image by learning to construct a representative image of the input image class.
no code implementations • 23 Aug 2019 • Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh, Kamal Krishna
The auxiliary task helps in capturing the relevant scale-related information to improve the performance of the main task.
no code implementations • 19 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.
no code implementations • 15 Jun 2019 • Suraj Tripathi, Abhay Kumar, Chirag Singh
We propose a novel visual context-aware filter generation module which incorporates contextual information present in images into Convolutional Neural Networks (CNNs).
2 code implementations • 11 Jun 2019 • Suraj Tripathi, Abhay Kumar, Abhiram Ramesh, Chirag Singh, Promod Yenigalla
This paper proposes a speech emotion recognition method based on speech features and speech transcriptions (text).
no code implementations • 11 Jun 2019 • Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh
To overcome this limitation, we propose a Zero Shot Learning (ZSL) paradigm for predicting unseen hashtag labels by learning the relationship between the semantic space of tweets and the embedding space of hashtag labels.
no code implementations • 11 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.
no code implementations • 30 Mar 2019 • Abhay Kumar, Nishant Jain, Chirag Singh, Suraj Tripathi
The SIFT descriptor layer captures the orientation and the spatial relationship of the features extracted by convolutional layer.