Relation Classification via LSTMs Based on Sequence and Tree Structure

Relation Classification via LSTMs Based on Sequence and Tree Structure

The goal of relation classification is to recognize the relationship between two marked entities in a sentence. It is a crucial constituent in natural language processing. Up till the present moment, most previous neural network models for this task either focus on using the handcrafted syntactic fe...

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Bibliographic Details
Main Authors: Yuanfei Dai, Wenzhong Guo, Xing Chen, Zuwen Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Relation classification
deep neural network
two channels architecture
attention mechanism
tree structure LSTM
Online Access:https://ieeexplore.ieee.org/document/8509590/

Internet

https://ieeexplore.ieee.org/document/8509590/

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