3 citations · 3 across the 10 of their papers we have counts for
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cs.CL2020
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…
cs.CL2020★ 3 cited
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…
cs.CL2020
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.…