Rui Cai, Xiaodong Zhang, and Houfeng Wang. 2016. Bidirectional Recurrent Convolutional Neural Network for Relation Classification. In Proceedings of the 54th ...

Aug 7, 2016 · The NN research for relation classification has centered around two main net- work architectures: convolutional neural networks and recursive/ ...

A novel model BRCNN is presented to classify the relation of two entities in a sentence by combining convolutional neural networks and twochannel recurrent ...

We propose a bidirectional architecture to learn relation representations with directional information along the SDP forwards and backwards at the same time, ...

Nov 6, 2017 · We propose a structure regularized model to learn relation representations along the SDP extracted from the forest formed by the structure ...

Nov 29, 2016 · For English toxic comment classification, this paper presents the model that combines Bi-GRU and CNN optimized by global average pooling (BG- ...

Bidirectional Recurrent Convolutional Neural Network for Relation Classification. ACL 2016 · Rui Cai, Xiaodong Zhang, Houfeng Wang · Edit social preview.

We propose a bidirectional convolutional recurrent neural network architecture, which utilizes two separate bidirectional LSTM and GRU layers, to derive both ...

We present a novel model, named Structure Regularized Bidirectional Recurrent Convolutional Neural Network (SR-BRCNN), to identify the relation between entities ...

Jan 9, 2019 · In this paper, we propose a novel Att-RCNN model to extract text features and classify relations by combining recurrent neural network (RNN) and convolutional ...