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acknowledgement

overview

Overview

Old Dominion University is responsible for conducting research on born and non-born digital Electronic Theses and Dissertations (ETDs). Dr. Jian Wu is serving as a CO-PI for this research project. At ODU, Dr. Wu is directing Lab for Applied Machine Learning and NLP System (LAMP-SYS) to conduct research on mining scholarly big data, including various challanges in Natural Language Processing, particularly in academic domain. As a CO-PI on this project, Dr. Wu is responsible for data acquisition and analysis. He is currently supervising two graduate research assistant to: collect data, populate ETD databases, perform analysis, information extraction, and classification; and prepare data for downstream training and searching.

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project

Project

Metadata Extraction from scanned ETDs

by Muntabir Hasan Choudhury

publications

A Heuristic Baseline Method for Metadata Extraction from Scanned Electronic Theses and Dissertations

Published in ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

This is a paper for the poster which has been accepted to ACM/IEEE Joint Conference on Digital Libraries 2020 and recieved Best Poster Award Honorable Mention.

Recommended citation: Choudhury, Muntabir Hasan and Wu, Jian and Ingram, William A. and Fox, Edward A.. "A Heuristic Baseline Method for Metadata Extraction from Scanned Electronic Theses and Dissertations." Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. https://lamps-lab.github.io/files/poster-ps316-002.pdf

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