2 citations · 8 across the 11 of their papers we have counts for
5 papers · 1 filter
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
Ayush Kumar, Vijit Malik, Jithendra Vepa
Intent Detection is one of the core tasks of dialog systems. Few-shot Intent Detection is challenging due to limited number of annotated utterances for novel classes. Generalized F…
What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study
Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa
Language Models (LMs) have been ubiquitously leveraged in various tasks including spoken language understanding (SLU). Spoken language requires careful understanding of speaker int…
Investigating Bias In Automatic Toxic Comment Detection: An Empirical Study
Ayush Kumar, Pratik Kumar
With surge in online platforms, there has been an upsurge in the user engagement on these platforms via comments and reactions. A large portion of such textual comments are abusive…
Document Structure aware Relational Graph Convolutional Networks for Ontology Population
Abhay M Shalghar, Ayush Kumar, Balaji Ganesan +3
Ontologies comprising of concepts, their attributes, and relationships are used in many knowledge based AI systems. While there have been efforts towards populating domain specific…
Phoneme-BERT: Joint Language Modelling of Phoneme Sequence and ASR Transcript
Mukuntha Narayanan Sundararaman, Ayush Kumar, Jithendra Vepa
Recent years have witnessed significant improvement in ASR systems to recognize spoken utterances. However, it is still a challenging task for noisy and out-of-domain data, where s…