[PDF][PDF] Rule-based information extraction is dead! long live rule-based information extraction systems!
L Chiticariu, Y Li, F Reiss - Proceedings of the 2013 conference on …, 2013 - aclanthology.org
L Chiticariu, Y Li, F Reiss
Proceedings of the 2013 conference on empirical methods in natural …, 2013•aclanthology.orgAbstract The rise of “Big Data” analytics over unstructured text has led to renewed interest in
information extraction (IE). We surveyed the landscape of IE technologies and identified a
major disconnect between industry and academia: while rule-based IE dominates the
commercial world, it is widely regarded as dead-end technology by the academia. We
believe the disconnect stems from the way in which the two communities measure the
benefits and costs of IE, as well as academia's perception that rulebased IE is devoid of …
information extraction (IE). We surveyed the landscape of IE technologies and identified a
major disconnect between industry and academia: while rule-based IE dominates the
commercial world, it is widely regarded as dead-end technology by the academia. We
believe the disconnect stems from the way in which the two communities measure the
benefits and costs of IE, as well as academia's perception that rulebased IE is devoid of …
Abstract
The rise of “Big Data” analytics over unstructured text has led to renewed interest in information extraction (IE). We surveyed the landscape of IE technologies and identified a major disconnect between industry and academia: while rule-based IE dominates the commercial world, it is widely regarded as dead-end technology by the academia. We believe the disconnect stems from the way in which the two communities measure the benefits and costs of IE, as well as academia’s perception that rulebased IE is devoid of research challenges. We make a case for the importance of rule-based IE to industry practitioners. We then lay out a research agenda in advancing the state-of-theart in rule-based IE systems which we believe has the potential to bridge the gap between academic research and industry practice.
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