Mihai Rotaru

Learning Text Similarity with Siamese Recurrent Networks

2016

This paper presents a deep architecture for learning a similarity metric on variablelength character sequences. The model combines a stack of character-level bidirectional LSTM's with a Siamese architecture. It learns to project variablelength strings into …