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Found 8 papers, 2 papers with code
Layout-Aware Text Representations Harm Clustering Documents by Type
Clustering documents by type—grouping invoices with invoices and articles with articles—is a desirable first step for organizing large collections of document scans.
GVdoc: Graph-based Visual Document Classification
Visual document classifiers have shown impressive performance on in-distribution test sets.
Position Masking for Improved Layout-Aware Document Understanding
Natural language processing for document scans and PDFs has the potential to enormously improve the efficiency of business processes.
Label Noise in Context
Label noise{---}incorrectly or ambiguously labeled training examples{---}can negatively impact model performance.
Improving Text-to-SQL Evaluation Methodology
Second, we show that the current division of data into training and test sets measures robustness to variations in the way questions are asked, but only partially tests how well systems generalize to new queries; therefore, we propose a complementary dataset split for evaluation of future work.
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Effective Crowdsourcing for a New Type of Summarization Task
Most summarization research focuses on summarizing the entire given text, but in practice readers are often interested in only one aspect of the document or conversation.
