2 citations · 3 across the 6 of their papers we have counts for
6 papers
A Grapheme-Aware Indic Tokenizer for Tamil: Large-Scale Training and Intrinsic Evaluation
Hari Krishnan K, Sudarsun Santhiappan
Tokenization forms the foundation of modern Natural Language Processing (NLP) systems by transforming raw text into discrete units that neural language models can process. The effe…
Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability
Alicia Parrish, Rajat Shinde, Sanket Badhe +57
Current AI safety evaluation and benchmarking frameworks predominantly rely on Western-centric culture-agnostic defaults that mask critical regional laws, socio-linguistic nuances,…
PolicyBot - Reliable Question Answering over Policy Documents
Gautam Nagarajan, Omir Kumar, Sudarsun Santhiappan
All citizens of a country are affected by the laws and policies introduced by their government. These laws and policies serve essential functions for citizens. Such as granting the…
Clustering Indices based Automatic Classification Model Selection
Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
Classification model selection is a process of identifying a suitable model class for a given classification task on a dataset. Traditionally, model selection is based on cross-val…
DEXTER: An end-to-end system to extract table contents from electronic medical health documents
Nandhinee PR, Harinath Krishnamoorthy, Koushik Srivatsan +2
In this paper, we propose DEXTER, an end to end system to extract information from tables present in medical health documents, such as electronic health records (EHR) and explanati…
GrabQC: Graph based Query Contextualization for automated ICD coding
Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
Automated medical coding is a process of codifying clinical notes to appropriate diagnosis and procedure codes automatically from the standard taxonomies such as ICD (International…