Bidirectional Long Short-Term Memory Networks for Relation Classification

Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

Dependent Bidirectional RNN with Extended-long Short-term Memory

In this work, we first conduct mathematical analysis on the memory, which is defined as a function that maps an element in a sequence to the current output, of three RNN cells; namely, the simple recurrent neural network…

Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks

This paper introduces a new method to classify sentiment polarity for aspects in product reviews. We call it bitmask bidirectional long short term memory networks. It is based on long short term memory (LSTM) networks, w…

Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition

Recurrent neural networks (RNN) are at the core of modern automatic speech recognition (ASR) systems. In particular, long-short term memory (LSTM) recurrent neural networks have achieved state-of-the-art results in many …

GL-BLSTM: a novel structure of bidirectional long-short term memory for disulfide bonding state prediction

Background: Disulfide bonds are crucial to protein structural formation. Developing an effective method topredict disulfide bonding formation is important for protein structural modeling and functional study. Mostcurrent…