NotebookLM’s latest update adds Deep Research and support for Sheets, Word, PDFs, and images, turning Google’s AI notebook ...
Abstract: Document classification is a classical problem in information retrieval, and plays an important role in a variety of applications. Automatic document classification can be defined as content ...
Python extracts text, tables, and images from PDFs quickly and accurately. Libraries like pdfplumber and Camelot make data collection smooth. Scanned PDFs can be read using OCR tools such as ...
Abstract: This paper presents an Open-Structure Table Extraction (OpenTE) task, which aims to extract a table with intrinsic semantic, calculational, and hierarchical structure from unstructured text.
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