Research Area:  Machine Learning

Abstract:

The task of measure semantic redundancy between sentences demands a thorough interpretation from the reader because phrase meaning may be ambiguous. Detecting semantic similarity is a difficult problem because natural language, besides ambiguity, offers almost infinite possibilities to express the same idea. This paper adapts a siamese neural network architecture trained to measure the semantic similarity between two sentences through metric learning. The resulting solution should help in writing more efficient and informative text.

Keywords:  
Measuring Semantic Similarity
Sentences
Siamese Neural Network
Machine Learning
Deep Learning

Author(s) Name:  Alexandre Yukio Ichida; Felipe Meneguzzi; Duncan D. Ruiz

Publisher name:  IEEE

DOI:  10.1109/IJCNN.2018.8489433

Volume Information:  

Paper Link:   https://ieeexplore.ieee.org/document/8489433