A deep learning methodology for automatic extraction and discovery of technical intelligence
Abstract
It is imperative and arduous to acquire product and business intelligence of global technical market. In this paper, a deep learning methodology is proposed to automatically extract and discover vital technical information from large-scale news dataset. More specifically, six kinds of technical elements are first defined to provide the concrete syntax information. Next, the CRF-BiLSTM approach is used to automatically extract technical entities,...
Paper Details
Title
A deep learning methodology for automatic extraction and discovery of technical intelligence
Published Date
Sep 1, 2019
Volume
146
Pages
339 - 351
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