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Found 8 papers, 4 papers with code
KIEval: Evaluation Metric for Document Key Information Extraction
Evaluation of structured information provides assessment of Document KIE models that are more reflective of extracting grouped information from documents in industrial settings.
System Message Generation for User Preferences using Open-Source Models
System messages play a crucial role in interactions with large language models (LLMs), often serving as prompts to initiate conversations.
TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism
Table Structure Recognition (TSR) is a task aimed at converting table images into a machine-readable format (e. g. HTML), to facilitate other applications such as information retrieval.
On Web-based Visual Corpus Construction for Visual Document Understanding
In recent years, research on visual document understanding (VDU) has grown significantly, with a particular emphasis on the development of self-supervised learning methods.
document understanding
Optical Character Recognition (OCR)
+1
OCR-free Document Understanding Transformer
Current Visual Document Understanding (VDU) methods outsource the task of reading text to off-the-shelf Optical Character Recognition (OCR) engines and focus on the understanding task with the OCR outputs.
Ranked #7 on
Key-value Pair Extraction
on SIBR
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Compared to previous works, our method shows better or comparable performance on dense prediction fine-tuning tasks.
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
On the other hand, this paper tackles the problem by going back to the basic: effective combination of text and layout.
Ranked #7 on
Relation Extraction
on FUNSD
