Pointer Sentinel-LSTM

2000년 도입 · 논문 1편에서 사용

The Pointer Sentinel-LSTM mixture model is a type of recurrent neural network that combines the advantages of standard softmax classifiers with those of a pointer component for effective and efficient language modeling. Rather than relying on the RNN hidden state to decide when to use the pointer, the model allows the pointer component itself to decide when to use the softmax vocabulary through a sentinel.

출처: Pointer Sentinel Mixture Models

소개 논문: Pointer Sentinel Mixture Models