lixin4ever / TNet

Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)
https://arxiv.org/abs/1805.01086
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why add the convolution layer? #9

Closed YHTtTtao closed 5 years ago

YHTtTtao commented 5 years ago

LSTM can already capture the position information,why you add a position-aware convolution layer?

lixin4ever commented 5 years ago

Here, the position information refers to the position relevance between the current hidden representation and the given aspect/target representation. LSTM can indeed capture the target-specific position information in an implicit way (i.e., closer (to the target) is more important). Our design is to explicitly incorporate such information into the convolutional feature extractor.