Text Matching as Image Recognition

Understand

Matching two texts is a fundamental problem in many natural language processing tasks.

• An effective way is to extract meaningful matching patterns from words, phrases, and sentences to produce the matching score.
• Inspired by the success of convolutional neural network in image recognition, where neurons can capture many complicated patterns based on the extracted elementary visual patterns such as oriented edges and corners, we propose to model text matching as the problem of image recognition.
• Firstly, a matching matrix whose entries represent the similarities between words is constructed and viewed as an image.