7 citations · 19 across the 19 of their papers we have counts for
4 papers · 1 filter
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models
Dheeraj Mekala, Jason Wolfe, Subhro Roy
We explore the use of large language models (LLMs) for zero-shot semantic parsing. Semantic parsing involves mapping natural language utterances to task-specific meaning representa…
Progressive Sentiment Analysis for Code-Switched Text Data
Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang
Multilingual transformer language models have recently attracted much attention from researchers and are used in cross-lingual transfer learning for many NLP tasks such as text cla…
Leveraging QA Datasets to Improve Generative Data Augmentation
Dheeraj Mekala, Tu Vu, Timo Schick +1
The ability of generative language models (GLMs) to generate text has improved considerably in the last few years, enabling their use for generative data augmentation. In this work…
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
Dheeraj Mekala, Chengyu Dong, Jingbo Shang
Weakly supervised text classification methods typically train a deep neural classifier based on pseudo-labels. The quality of pseudo-labels is crucial to final performance but they…