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Found 4 papers, 2 papers with code
CED: Catalog Extraction from Documents
To address this problem, we build a large manually annotated corpus, which is the first dataset for the Catalog Extraction from Documents (CED) task.
Ranked #1 on
Catalog Extraction
on ChCatExt
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends
In this paper, we provide a comprehensive review of the development of Arabic NER, especially the recent advances in deep learning and pre-trained language model.
Domain Adaptation for Semantic Parsing
In this paper, we propose a novel semantic parser for domain adaptation, where we have much fewer annotated data in the target domain compared to the source domain.
A Sketch-Based System for Semantic Parsing
The sketch is a high-level structure of the logical form exclusive of low-level details such as entities and predicates.
