arXiv:2401.02972
공식 코드 · Papers with Code
REE-HDSC: Recognizing Extracted Entities for the Historical Database Suriname Curacao
원문 초록
We describe the project REE-HDSC and outline our efforts to improve the quality of named entities extracted automatically from texts generated by hand-written text recognition (HTR) software. We describe a six-step processing pipeline and test it by processing 19th and 20th century death certificates from the civil registry of Curacao. We find that the pipeline extracts dates with high precision but that the precision of person name extraction is low. Next we show how name precision extraction can be improved by retraining HTR models with names, post-processing and by identifying and removing incorrect names.
함께 살펴볼 논문
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Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription
Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records
Unlocking the Archives: Using Large Language Models to Transcribe Handwritten Historical Documents
Hespi: A pipeline for automatically detecting information from hebarium specimen sheets
General Detection-based Text Line Recognition
HTR-VT: Handwritten Text Recognition with Vision Transformer
토론
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