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20212025
most citedFramework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs

4 citations · 10 across the 8 of their papers we have counts for

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8 papers

cs.CL2025

BHRAM-IL: A Benchmark for Hallucination Recognition and Assessment in Multiple Indian Languages

Hrishikesh Terdalkar, Kirtan Bhojani, Aryan Dongare +1

Large language models (LLMs) are increasingly deployed in multilingual applications but often generate plausible yet incorrect or misleading outputs, known as hallucinations. While…

cs.CL2024

Sanskrit Knowledge-based Systems: Annotation and Computational Tools

Hrishikesh Terdalkar

We address the challenges and opportunities in the development of knowledge systems for Sanskrit, with a focus on question answering. By proposing a framework for the automated con…

cs.CL2023★ 4 cited

Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs

Hrishikesh Terdalkar, Arnab Bhattacharya

Sanskrit (sa\d{m}sk\d{r}ta) enjoys one of the largest and most varied literature in the whole world. Extracting the knowledge from it, however, is a challenging task due to multipl…

cs.CL2023

Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation

Hrishikesh Terdalkar, Arnab Bhattacharya

One of the primary obstacles in the advancement of Natural Language Processing (NLP) technologies for low-resource languages is the lack of annotated datasets for training and test…

cs.SE2022★ 1 cited

Chandojnanam: A Sanskrit Meter Identification and Utilization System

Hrishikesh Terdalkar, Arnab Bhattacharya

We present Chandojñānam, a web-based Sanskrit meter (Chanda) identification and utilization system. In addition to the core functionality of identifying meters, it sports a friendl…

cs.CL2022★ 1 cited

A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit

Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar +4

The phenomenon of compounding is ubiquitous in Sanskrit. It serves for achieving brevity in expressing thoughts, while simultaneously enriching the lexical and structural formation…

cs.IR2022

Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text

Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey +2

Knowledge bases (KB) are an important resource in a number of natural language processing (NLP) and information retrieval (IR) tasks, such as semantic search, automated question-an…

cs.SE2021★ 4 cited

Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs

Hrishikesh Terdalkar, Arnab Bhattacharya

In this work, we present a web-based annotation and querying tool Sangrahaka. It annotates entities and relationships from text corpora and constructs a knowledge graph (KG). The K…