Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo

Abstract

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.

Tasks

Reproductions