Automatic Data Retrieval for Cross Lingual Summarization
Nikhilesh Bhatnagar Ashok Urlana Vandan Mujadia Pruthwik Mishra Dipti Misra Sharma
Cross-lingual summarization involves the summarization of text written in one
language to a different one. There is a body of research addressing
cross-lingual summarization from English to other European languages. In this
work, we aim to perform cross-lingual summarization from English to Hindi. We
propose pairing up the coverage of newsworthy events in textual and video
format can prove to be helpful for data acquisition for cross lingual
summarization. We analyze the data and propose methods to match articles to
video descriptions that serve as document and summary pairs. We also outline
filtering methods over reasonable thresholds to ensure the correctness of the
summaries. Further, we make available 28,583 mono and cross-lingual
article-summary pairs https://github.com/tingc9/Cross-Sum-News-Aligned. We also
build and analyze multiple baselines on the collected data and report error
analysis.