Sentence embedding
Sentence embedding is the collective name for a set of techniques in natural language processing where sentences are mapped to vectors of real numbersApplication
Sentence embedding is used by the deep learning software libraries PyTorch and TensorFlowEvaluation
A way of testing sentence encodings is to apply them on Sentences Involving Compositional Knowledge corpus
for both entailment and relatedness.
In the best results are obtained using a BiLSTM network trained on the . The Pearson correlation coefficient for SICK-R is 0.885 and the result for SICK-E is 86.3. A slight improvement over previous scores is presented in : SICK-R: 0.888 and SICK-E: 87.8 using a concatenation of bidirectional Gated recurrent unit.
