Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
This paper develops a model that addresses sentence embedding, a hot topic in current natural language processing research, using recurrent neural networks with Long Short-Term Memory (LSTM) cells. Due to its ability to capture long term memory, the LSTM-RNN accumulates increasingly richer information as it goes through the sentence, and …