Deep Tabular Learning

Bidirectional LSTM

A Bidirectional LSTM, or biLSTM, is a sequence processing model that consists of two LSTMs: one taking the input in a forward direction, and the other in a backwards direction. BiLSTMs effectively increase the amount of information available to the network, improving the context available to the algorithm (e.g. knowing what words immediately follow and precede a word in a sentence).

Image Source: Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks, Cornegruta et al

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Sentence 75 8.00%
Sentiment Analysis 39 4.16%
Language Modelling 38 4.06%
Named Entity Recognition (NER) 38 4.06%
NER 34 3.63%
General Classification 31 3.31%
Text Classification 29 3.09%
Classification 24 2.56%
Question Answering 17 1.81%

Components


Component Type
LSTM
Recurrent Neural Networks

Categories