4 citations · 14 across the 9 of their papers we have counts for
10 papers
NeuroSymbolic AI for Legal AI-TRISM: Trustworthy, Reliable, Interpretable, Safe Models
Deepa Tilwani, Yash Saxena, Ankur Padia +2
Large Language Models (LLMs) have transformed natural language processing, but their lack of interpretable reasoning and tendency to hallucinate pose significant challenges for leg…
DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verification
Shubhashis Roy Dipta, Ankur Padia, Francis Ferraro
Claim verification splits between end-to-end classifiers that are accurate but yields no inspectable traces, and decomposition-based methods produce inspectable traces but lag perf…
Named Entity Recognition for Nepali Language
Oyesh Mann Singh, Ankur Padia, Anupam Joshi
Named Entity Recognition have been studied for different languages like English, German, Spanish and many others but no study have focused on Nepali language. In this paper we prop…
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization
Ankur Padia, Kostantinos Kalpakis, Francis Ferraro +1
We present a family of novel methods for embedding knowledge graphs into real-valued tensors. These tensor-based embeddings capture the ordered relations that are typical in the kn…
SURFACE: Semantically Rich Fact Validation with Explanations
Ankur Padia, Francis Ferraro, Tim Finin
Judging the veracity of a sentence making one or more claims is an important and challenging problem with many dimensions. The recent FEVER task asked participants to classify inpu…
Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems
Ankur Padia, Francis Ferraro, Tim Finin
KGCleaner is a framework to identify and correct errors in data produced and delivered by an information extraction system. These tasks have been understudied and KGCleaner is the…