Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo
Aman Kumar, Hassan Alam, Tina Werner, Manan Vyas · International Conference on Computational Linguistics · 2016
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.