Boe Technology Group Co., Ltd.

Tsinghua University

Beijing Boe Technology Development Co., Ltd.

Nuctech Company Limited

Zhongcheng Institute (beijing) Environmental Technology Co., Ltd.

Chao Ji

Zhiqiang Chen

Feng Zhang

Tao Liu

Qingping Huang

Li Zhang

Pengfei Zhang

Zhenzhong Zhang

Hui Ding

Miao Guo

Ge Ou

Hongxiang Shen

Yong Zhou

Chuqian Zhong

Xingyu Zhang

Liyu Liu

Boran Jiang

Shuqi Wei

Zhongtao Sun

Rufei Liu

Fengming Yue

Xiaoqing Hu

The present disclosure relates to a method for training a natural language processing model, including: obtaining a sample text of natural language; determining one or more triples in the sample text, wherein each of the triples comprises two entities in the sample text and a relation between the two entities; processing the sample text based on the triples to obtain one or more knowledge fusion vectors; and training a natural language processing model by inputting the knowledge fusion vectors into the natural language processing model to obtain a target model.

Method, apparatus and storage medium for training natural language processing model

A kitchen waste wastewater treatment equipment includes a reaction kettle, a discharging mechanism and a pressurizing mechanism. In the process of high-temperature and high-pressure thermal hydrolysis of wastewater in the present disclosure, the pressurizing disk in the pressurizing mechanism continuously moves downwards in a vacuum state in the reaction kettle, reducing the volume in the reaction kettle and thus increasing the pressure. The secondary pressurization of wastewater is achieved while using heating for high-temperature and high-pressure, and the high-temperature and high-pressure environment greatly improves the reaction rate of thermal hydrolysis. The thermal hydrolysis reaction also generates gas for further pressurization, which greatly improves the treatment efficiency of wastewater. Moreover, the pressurizing mechanism and the exhaust annular groove can separate the gas generated after thermal hydrolysis.

Kitchen waste wastewater treatment equipment

The present disclosure relates to a static CT detection device, including: a shielding body, formed with a detection channel through which an object under detection can pass; a ray source, emitting rays for detecting the object under detection when the object under detection passes through the detection channel; and a detector, for acquiring the rays emitted by the ray source and having passed through the detection channel, wherein the shielding body is formed with an opening portion, and the opening portion extends from an inlet of the detection channel to an outlet of the detection channel.

Static CT detection device

Growing community of inventors

Beijing, China

Chao Ji