52 citations · 74 across the 13 of their papers we have counts for
14 papers
Self-training Strategies for Sentiment Analysis: An Empirical Study
Haochen Liu, Sai Krishna Rallabandi, Yijing Wu +2
Sentiment analysis is a crucial task in natural language processing that involves identifying and extracting subjective sentiment from text. Self-training has recently emerged as a…
HeySQuAD: A Spoken Question Answering Dataset
Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy +3
Spoken question answering (SQA) systems are critical for digital assistants and other real-world use cases, but evaluating their performance is a challenge due to the importance of…
Understanding BLOOM: An empirical study on diverse NLP tasks
Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
We view the landscape of large language models (LLMs) through the lens of the recently released BLOOM model to understand the performance of BLOOM and other decoder-only LLMs compa…
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
Parul Chopra, Sai Krishna Rallabandi, Alan W Black +1
Code-switching (CS), a ubiquitous phenomenon due to the ease of communication it offers in multilingual communities still remains an understudied problem in language processing. Th…
Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages
Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi +2
Building Spoken Language Understanding (SLU) systems that do not rely on language specific Automatic Speech Recognition (ASR) is an important yet less explored problem in language…
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems
Akshat Gupta, Olivia Deng, Akruti Kushwaha +4
Intent Recognition and Slot Identification are crucial components in spoken language understanding (SLU) systems. In this paper, we present a novel approach towards both these task…
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data
Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi +1
Sentiment analysis is an important task in understanding social media content like customer reviews, Twitter and Facebook feeds etc. In multilingual communities around the world, a…
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data
Akshat Gupta, Sai Krishna Rallabandi, Alan Black
Using task-specific pre-training and leveraging cross-lingual transfer are two of the most popular ways to handle code-switched data. In this paper, we aim to compare the effects o…
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages
Akshat Gupta, Xinjian Li, Sai Krishna Rallabandi +1
With recent advancements in language technologies, humans are now speaking to devices. Increasing the reach of spoken language technologies requires building systems in local langu…
Mere account mein kitna balance hai? -- On building voice enabled Banking Services for Multilingual Communities
Akshat Gupta, Sai Krishna Rallabandi, Alan W Black
Tremendous progress in speech and language processing has brought language technologies closer to daily human life. Voice technology has the potential to act as a horizontal enabli…
A Resource for Computational Experiments on Mapudungun
Mingjun Duan, Carlos Fasola, Sai Krishna Rallabandi +4
We present a resource for computational experiments on Mapudungun, a polysynthetic indigenous language spoken in Chile with upwards of 200 thousand speakers. We provide 142 hours o…
Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data
Nishant Gurunath, Sai Krishna Rallabandi, Alan Black
In order to build language technologies for majority of the languages, it is important to leverage the resources available in public domain on the internet - commonly referred to a…
On Controlled DeEntanglement for Natural Language Processing
SaiKrishna Rallabandi
Latest addition to the toolbox of human species is Artificial Intelligence(AI). Thus far, AI has made significant progress in low stake low risk scenarios such as playing Go and we…
A Survey of Code-switched Speech and Language Processing
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi +1
Code-switching, the alternation of languages within a conversation or utterance, is a common communicative phenomenon that occurs in multilingual communities across the world. This…