1 citations · 1 across the 5 of their papers we have counts for
5 papers
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
Yashwanth M., Vaibhav Singh, Ayush Maheshwari +2
We propose ARISE, a framework that iteratively induces rules and generates synthetic data for text classification. We combine synthetic data generation and automatic rule induction…
LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages
Karthika N J, Krishnakant Bhatt, Ganesh Ramakrishnan +1
Translating technical terms into lexically similar, low-resource Indian languages remains a challenge due to limited parallel data and the complexity of linguistic structures. We p…
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs
Vaibhav Singh, Amrith Krishna, Karthika NJ +1
Low-resource languages, by its very definition, tend to be under represented in the pre-training corpora of Large Language Models. In this work, we investigate three low-resource c…
LexGen: Domain-aware Multilingual Lexicon Generation
Ayush Maheshwari, Atul Kumar Singh, Karthika NJ +3
Lexicon or dictionary generation across domains has the potential for societal impact, as it can potentially enhance information accessibility for a diverse user base while preserv…
FAIR: Filtering of Automatically Induced Rules
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal +1
The availability of large annotated data can be a critical bottleneck in training machine learning algorithms successfully, especially when applied to diverse domains. Weak supervi…