Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo
In this study we develop a system that tags and extracts financial concepts called financial named entities (FNE) along with corresponding numeric values {--} monetary and temporal. We employ machine learning and natural language processing methods to identify financial concepts and dates, and link them to numerical entities.
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