33 citations · 34 across the 6 of their papers we have counts for
7 papers
CHI: A Composite Hallucination Index Unifying Entity, Relation, and Quantity Dimensions for Summarization Evaluation
Praveenkumar Katwe, Rakesh Chandra Balabantaray, Kali Prasad Vittala
Faithfulness evaluation of abstractive summaries remains an open challenge, with existing metrics addressing only isolated hallucination types: factual entity errors, relational in…
A Grounded and Decomposed Framework for Relation-Level Hallucination Evaluation in Abstractive Summarization
Praveen Kumar Katwe, Rakesh Chandra Balabantaray, Kali Prasad Vittala +1
Abstractive text summarization systems frequently generate fluent yet unfaithful summaries by fabricating or distorting relationships between entities and events. Such relation-lev…
Abstractiveness Metrics for Evaluating Text Summarization: A Refined Formulation with Empirical Validation
Praveenkumar Katwe, Rakesh Chandra Balabantaray, Kali Prasad Vittala
Quantifying abstractiveness in generated summaries is essential for evaluating summarization models beyond surface-level metrics like ROUGE. We introduce Reference Abstraction (RA)…
Bridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM
Praveenkumar Katwe, RakeshChandra Balabantaray, Kaliprasad Vittala
Current advancements in Natural Language Processing (NLP) have largely favored resource-rich languages, leaving a significant gap in high-quality datasets for low-resource language…
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
Sankalp Bahad, Pruthwik Mishra, Karunesh Arora +3
Named Entity Recognition (NER) is a useful component in Natural Language Processing (NLP) applications. It is used in various tasks such as Machine Translation, Summarization, Info…
Automatic Parallel Corpus Creation for Hindi-English News Translation Task
Aditya Kumar Pathak, Priyankit Acharya, Dilpreet Kaur +1
The parallel corpus for multilingual NLP tasks, deep learning applications like Statistical Machine Translation Systems is very important. The parallel corpus of Hindi-English lang…
Document Clustering using K-Means and K-Medoids
Rakesh Chandra Balabantaray, Chandrali Sarma, Monica Jha
With the huge upsurge of information in day-to-days life, it has become difficult to assemble relevant information in nick of time. But people, always are in dearth of time, they n…