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Nov, 2018
ML-Net:基于深度神经网络的生物医学文本多标签分类
ML-Net: multi-label classification of biomedical texts with deep neural networks
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Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao...
TL;DR
ML-Net是一个新型的深度学习框架,用于多标签分类生物医学文本,它通过组合标签预测网络和自动标签计数预测机制来在输出标签时利用每个标签的预测置信度和目标文档中的上下文信息,无需人工特征工程,具有高效、可扩展等特点。
Abstract
Background:
multi-label text classification
is one type of text classification where each text can be assigned with one or more labels.
multi-label text classification
, which has broad applications in biomedical
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