Search Results for author:
Found 4 papers, 2 papers with code
Cross-lingual Alignment of Knowledge Graph Triples with Sentences
We propose cross-lingual pairing of English triples with Hindi sentences to mitigate the unavailability of content overlap.
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
But, for low-resource languages, the scarcity of reference articles makes monolingual summarization ineffective in solving this problem.
Ranked #1 on
Cross-Lingual Abstractive Summarization
on XWikiRef
Cross-Lingual Abstractive Summarization
Document Summarization
+3
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages
Our extensive experiments show that a multi-lingual mT5 model which uses fact-aware embeddings with structure-aware input encoding leads to best results on average across the twelve languages.
Ranked #1 on
Data-to-Text Generation
on XAlign
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages
Multiple critical scenarios (like Wikipedia text generation given English Infoboxes) need automated generation of descriptive text in low resource (LR) languages from English fact triples.
Ranked #3 on
Data-to-Text Generation
on XAlign
