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Smart Matching for Screening
Capably matching names and other personally identifiable information (PII) is critical to any effective compliance screening system: failure puts reputation, finances, and ethics on the line. Unfortunately, globalization coupled with the economic impact of the pandemic is testing screening systems like never before. As applications pour in, these systems are being asked to process key identity data in a huge variety of languages at unprecedent...
May 13, 2020
Organizer: Basis Technology
Location: Webcast
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Understanding Names with Neural Networks
Matching names across languages and writing systems is a critical issue in a variety of consumer and governmental domains. Historically, computers have attempted to solve this problem with ad-hoc methods such as edit distance, sound indexing, and Hidden Markov Models, but these have a variety of practical limitations in this problem space, which we will explore. To address these issues, we present our research and development team’s work...
May 12, 2020
Organizer: Basis Technology
Location: Webcast
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How to Evaluate NLP Tools for Entity Ex...
You have some documents and you want to extract information, but which NLP tool or library to use? You have many from which to choose but how to evaluate which is best? Evaluating NLP tools is not a straightforward exercise since differences in output between tools often prevent direct comparison. NLP tools based on different underlying technologies will tag text differently, extract different sets of entities and classify those entities diffe...
April 30, 2020
Organizer: Basis Technology
Location: Webcast
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