3 citations · 3 across the 3 of their papers we have counts for
4 papers
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning
Prakamya Mishra
In this paper, we present a novel multi-modal deep neural network architecture that uses speech and text entanglement for learning phonetically sound spoken-word representations. S…
Bi-ISCA: Bidirectional Inter-Sentence Contextual Attention Mechanism for Detecting Sarcasm in User Generated Noisy Short Text
Prakamya Mishra, Saroj Kaushik, Kuntal Dey
Many online comments on social media platforms are hateful, humorous, or sarcastic. The sarcastic nature of these comments (especially the short ones) alters their actual implied s…
Contextualized Spoken Word Representations from Convolutional Autoencoders
Prakamya Mishra, Pranav Mathur
A lot of work has been done to build text-based language models for performing different NLP tasks, but not much research has been done in the case of audio-based language models.…
Correlated Feature Selection for Tweet Spam Classification
Prakamya Mishra
The identification of spam messages on social networks is a very challenging task. Social media sites like Twitter \& Facebook attracts a lot of users and companies to advertise an…