2018
ACL
ACL 2018
A Study of the Importance of External Knowledge in the Named Entity Recognition Task
Abstract
AbstractIn this work, we discuss the importance of external knowledge for performing Named Entity Recognition (NER). We present a novel modular framework that divides the knowledge into four categories according to the depth of knowledge they convey. Each category consists of a set of features automatically generated from different information sources, such as a knowledge-base, a list of names, or document-specific semantic annotations. Further, we show the effects on performance when incrementally adding deeper knowledge and discuss effectiveness/efficiency trade-offs.
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Interdisciplinary Bridge
— Machine Learning and Natural Language Processing
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Trend Setter
— Knowledge Distillation
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Keyword Pioneer
— external knowledge
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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, Speech & Audio