This paper introduces PMIndiaSum, a multilingual and massively parallel summarization
corpus focused on languages in India. Our corpus provides a training and testing ground for …

With the advent of multilingual models like mBART, mT5, IndicBART etc., summarization in
low resource Indian languages is getting a lot of attention now a days. But still the number of …

The ILSUM shared task focuses on text summarization for two major Indian languages-Hindi
and Gujarati, along with English. In this task, we experiment with various pretrained …

Text summarization is an important application of natural language processing (NLP)
especially in this era where there is an abundance of information on the internet. In such a …

The research on text summarization for low-resource Indian languages has been limited due
to the availability of relevant datasets. This paper presents a summary of various deep …

This paper provides an overview of the second edition of the shared task on Indian
Language Summarization (ILSUM) organized at the 15th Forum for Information Retrieval …

This abstract provides a short overview of the second edition of the shared task on Indian
Language Summarization (ILSUM) organized at the 15th Forum for Information Retrieval …

Text summarization is one of the well-known issues in deep learning (DL) and natural
language processing (NLP) in recent years. A sequence-to-sequence attention model based …

Automatic summarization has consistently attracted attention, due to its versatility and wide
application in various downstream tasks. Despite its popularity, we find that annotation …

Every day, the internet is inundated with massive amounts of data. Unlike texts, such as
academic reports and news that ordinarily originate from a single source and have a well …