22 citations · 23 across the 4 of their papers we have counts for
8 papers
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers
Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi
Text-to-SQL parsers typically struggle with databases unseen during the train time. Adapting parsers to new databases is a challenging problem due to the lack of natural language q…
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil +3
Recent research in multilingual language models (LM) has demonstrated their ability to effectively handle multiple languages in a single model. This holds promise for low web-resou…
Teaching keyword spotters to spot new keywords with limited examples
Abhijeet Awasthi, Kevin Kilgour, Hassan Rom
Learning to recognize new keywords with just a few examples is essential for personalizing keyword spotting (KWS) models to a user's choice of keywords. However, modern KWS models…
Error-driven Fixed-Budget ASR Personalization for Accented Speakers
Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi +1
We consider the task of personalizing ASR models while being constrained by a fixed budget on recording speaker-specific utterances. Given a speaker and an ASR model, we propose a…
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?
Sriram Balasubramanian, Naman Jain, Gaurav Jindal +2
We evaluate named entity representations of BERT-based NLP models by investigating their robustness to replacements from the same typed class in the input. We highlight that on sev…
Black-box Adaptation of ASR for Accented Speech
Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi +1
We introduce the problem of adapting a black-box, cloud-based ASR system to speech from a target accent. While leading online ASR services obtain impressive performance on main-str…