The Indian Language Summarization (ILSUM) track at FIRE'22 is the first attempt to create benchmark corpora for text summarization in Indian languages. The majority of the summarization systems, submitted by various participants, were based on pre-trained models like MT5, MBart, and IndicBART.
Jan 12, 2023 · The objective of this shared task was to create benchmark data for text summarization in Indian languages. This edition included three languages ...
The Indian Language Summarization (ILSUM) track at FIRE'22 is the first attempt to create benchmarked corpora for text summarization of Indian languages ...
Request PDF | On Jan 12, 2023, Shrey Satapara and others published FIRE 2022 ILSUM Track: Indian Language Summarization | Find, read and cite all the ...
Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2022, Kolkata, India, December 9-13, 2022; Year: ; fire_conference ...
Mar 25, 2023 · Abstract:The ILSUM shared task focuses on text summarization for two major Indian languages- Hindi and Gujarati, along with English.
The objective of this shared task was to create benchmark data for text summarization in Indian languages. This edition included three languages Hindi, Gujarati ...
Arjit Agarwal , Soham Naik , and Sheetal Sonawane . 2022 . Abstractive Text Summarization for Hindi Language using IndicBART . In Working Notes of FIRE 2022 - ...
Through this shared task we aim to bridge the existing gap by creating reusable corpora for Indian Language Summarization. In the first edition we cover two ...
Missing: FIRE | Show results with:FIRE
This paper provides an overview of the first edition of the shared task on Indian Language Summa-rization (ILSUM) organized at the 14th Forum for ...