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Machine Learning for Resume Matching by dhanushreec17042004 is a document available to read on EtoBox.

1. This document discusses using deep learning techniques like Siamese neural networks and convolutional neural networks to match resumes to job descriptions by capturing the underlying semantics. Experimental results on a dataset of over 5 million resume-job pairs demonstrate improved performance over existing methods. 2. It proposes LayoutLM, a pre-training method that incorporates both text and layout information from document images like scanned resumes and forms. Evaluation on three benchmark dataset

Author

dhanushreec17042004

Language

EN