Exploration of WeChat-based Legal Robot

Abstract

To study the legal robot based on WeChat, the construction and implementation of the model-based Chinese pronoun digestion overall algorithm framework were elaborated. Then, the overall structure, module design and system display of the system were introduced in detail, and pronoun resolution and omission recovery module were explained. In practice, the long-term and short-term memory network model learning suitable for serialization input was used to express the deep characteristics of the context and applied to the Chinese pronoun resolution and omission recovery tasks respectively. In addition, the effectiveness of the Chinese pronoun disambiguation technology and the pronoun ellipsis recovery technology in the intelligent robot system was discussed, and a targeted analysis and optimization of the semantic complement task were made. Finally, an intelligent legal robot system based on the WeChat platform was realized.