2016
COLING
COLING 2016
Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo
Abstract
AbstractIn 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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Trend Setter
— Named Entity Recognition
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Keyword Pioneer
— financial named entity
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Hot Topic Early Bird
— named entity recognition
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio