Shared Representation Generator for Relation Extraction With Piecewise-LSTM Convolutional Neural Networks
Traditional distant supervision for relation extraction is faced with the problem of introducing noises. In this paper, we present a shared representation generator to de-emphasize the noisy expressions by extracting common features in relation. Different from computing weighted sum in widespread at...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8611069/ |