Research Article

IARNN-Based Semantic-Containing Double-Level Embedding Bi-LSTM for Question-and-Answer Matching

Table 3

Comparison of different similarity calculations.

SimilarityTrain acc (%)Train lossTest acc (%)

Semantic similarity84.230.9579.15
Cosine similarity81.850.64771.83