Multi-channel Reverse Dictionary Model

Understand

A reverse dictionary takes the description of a target word as input and outputs the target word together with other words that match the description.

• Existing reverse dictionary methods cannot deal with highly variable input queries and low-frequency target words successfully.
• Inspired by the description-to-word inference process of humans, we propose the multi-channel reverse dictionary model, which can mitigate the two problems simultaneously.
• Our model comprises a sentence encoder and multiple predictors.