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Scope: Building And Testing An Integrated Manual-Automated Event Extraction Tool For Online Text-Based Media Sources, Matthew Crittenden
Scope: Building And Testing An Integrated Manual-Automated Event Extraction Tool For Online Text-Based Media Sources, Matthew Crittenden
Undergraduate Honors Theses
Building on insights from two years of manually extracting events information from online news media, an interactive information extraction environment (IIEE) was developed. SCOPE, the Scientific Collection of Open-source Policy Evidence, is a Python Django-based tool divided across specialized modules for extracting structured events data from unstructured text. These modules are grouped into a flexible framework which enables the user to tailor the tool to meet their needs. Following principles of user-oriented learning for information extraction (IE), SCOPE offers an alternative approach to developing AI-assisted IE systems. In this piece, we detail the ongoing development of the SCOPE tool, present …
Realium: Building The Future Of Real Estate On The Blockchain, Demitri Haddad
Realium: Building The Future Of Real Estate On The Blockchain, Demitri Haddad
Undergraduate Honors Theses
This paper discusses the prospective challenges, limitations and opportunities in the real estate sector for blockchain. It outlines the idea of Realium, a financial technology application that aims to assist in the purchase, sale, and legal compliance of real estate assets. For more information see docs.realium.io