Exploration of WeChat-based Legal Robot

DOI

10.2991/meees-18.2018.62How to use a DOI?

Keywords

Legal robot; WeChat; deep learning.

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinxi Lu
PY  - 2018/05
DA  - 2018/05
TI  - Exploration of WeChat-based Legal Robot
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 355
EP  - 360
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.62
DO  - 10.2991/meees-18.2018.62
ID  - Lu2018/05
ER  -