Huawei Technologies Co., Limited

Wuhan China Star Optoelectronics Semiconductor Display Technology Co., Ltd.

Shenzhen Do Intelligent Technology Co., Ltd.

Tencent Technology (Shenzhen) Company Limited

Shenzhen Certainn Technology Co., Ltd.

Zte Corporation

Shenzhen Kevi Ecommerce Co.. Ltd

Huawei Cloud Computing Technologies Co., Ltd.

Harbin Institute of Technology, Shenzhen

Guangdong East Power Co., Ltd.

Shenzhen Giec Digital Co., Ltd

Shenzhen in Vivo Biomedicine Technology Limited Company

Guangdong Zhaotai Invivo Biomedicine Co., Ltd

Sz Dji Technology Co., Ltd.

Honor Device Co., Ltd.

Peng Li

Qian Wang

An He

Jie Zhou

Xiangsong Dai

Shuguang Guo

Jian Li

Lei Wu

Yongming Liang

Yao Yao

Fandong Meng

Zhaoyang Tang

Shoudong Cai

Liang Sun

Shuang Shuang Li

Wei Wang

Xue Li

Qing Ding

Jing Wang

Cheng Chen

Lei Huang

Tianyu Gao

Yupeng Qiu

Shimeng Bei

Yawei Zhang

Lu Li

Hao Peng

Xiaohui Hou

Haibo Xu

Yanxiong Zhu

Linhong Lv

Jiangping Feng

Haibin Zhou

Simiao Lin

Yankai Lin

Zhiyuan Liu

Jian Yin

Changyu Liu

Xiuyan Li

Qing Chu

Huabing Jiang

Juejun Liu

Qiu Ran

Shengfa Zhang

Weijie Huang

Xiaolong Zhang

Xu Han

Heng Zhou

Youying Lan

Xiaoyu Tian

Maosong Sun

Feilong Chen

Zhihui Zhu

Xiuyi Chen

Zhongyong He

Yanfang Cao

Ruocong Zhao

Yantao Shen

Xingguang Duan

Yunhui Liu

Yeying Liu

Haishan Bi

Fuxue Liu

Mingming Wan

Dexing Zhang

Yunxin Lai

Weicun Zhou

Longqing Shen

Nianxian Lin

Yuanbin Cui

Le Qin

Mingpeng Xiao

Xiaofan Wan

Ruiqiang Zhang

Electric mosquito swatter

Disclosed in this application are a visual content dialog method performed by an electronic device. The method includes: acquiring an image feature of an input image and state vectors corresponding to first n rounds of historical question answering dialog, n being a positive integer; acquiring a question feature of a current round of questioning related to the input image; performing multimodal encoding on the image feature of the input image, the state vectors corresponding to the first n rounds of historical question answering dialog, and the question feature of the current round of questioning, to obtain a state vector corresponding to the current round of questioning; and performing multimodal decoding on the state vector corresponding to the current round of questioning and the image feature of the input image, to obtain an actual output answer corresponding to the current round of questioning.

Visual dialog method and apparatus, method and apparatus for training visual dialog model, electronic device, and computer-readable storage medium

Disclosed is a text sentence processing method performed by a computer device, including: acquiring sample text sentences including entity pairs and relationship labels of the entity pairs; extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels, and performing positive-negative example sampling, to obtain a training set; inputting the training set into a relationship extraction model to generate loss values; and adjusting parameters of the relationship extraction model according to the loss values, and repeating the step of extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels to perform iterative training of the relationship extraction model until a training end condition is met, to obtain an updated relationship extraction model, the relationship extraction model being configured to identify an entity relationship of an entity pair in an input text sentence.

Text sentence processing method and apparatus, computer device, and storage medium

A dialogue generation method, a network training method and apparatus, a storage medium, and a device are provided. The method includes: predicting, based on a plurality of a plurality of pieces of candidate knowledge text in a first candidate knowledge set, a preliminary dialogue response of a first dialogue preceding text; processing the first dialogue preceding text based on the preliminary dialogue response to obtain a first dialogue preceding text vector; obtaining a piece of target knowledge text based on a probability value of the piece of target knowledge text of being selected to be used in generating a final dialogue response, the probability value being obtained based on the first dialogue preceding text vector; and generating the final dialogue response based on the first dialogue preceding text and the piece of target knowledge text.

Dialogue generation method and network training method and apparatus, storage medium, and device

An electronic device obtains a to-be-translated sentence. The electronic device divides the to-be-translated sentence into a preset quantity of clauses. The electronic device separately translates each of the clauses to obtain a respective translation result corresponding to each of the clauses. The electronic device combines the respective translation results corresponding to each of the clauses according to semantics to obtain a target translation sentence corresponding to the to-be-translated sentence.

Translation method and apparatus, electronic device, and computer-readable storage medium

Smartwatch

Alarm clock

The present disclosure relates to a scFv amino acid sequence capable of recognizing CD19 antigen and a nucleotide sequence encoding the same, and also relates to a chimeric antigen receptor, a nucleic acid encoding the same and a cell expressing the same, and their uses in the manufacture of a medicament for treating tumors. The chimeric antigen receptor of the present disclosure comprises at least one extracellular domain, an optional transmembrane domain and at least one intracellular costimulatory signaling domain, wherein the extracellular domain comprises a CD19 antigen-recognizing and binding domain. The chimeric antigen receptor of the present disclosure has been humanized, resulting in a longer survival period in vivo, and a corresponding extended complete remission period in patients.

ScFv amino acid sequence, chimeric antigen receptor containing same and application thereof

Smart watch

This disclosure provides a data query method and apparatus. The method includes: dividing an object storage system into a plurality of storage spaces based on time slices, establishing a mapping relationship between the storage spaces, the time slices, and operation records, recording time slice information corresponding to a snapshot after generating the snapshot, and implementing services such as a read-only service, a snapshot rollback service, and an object change service based on the snapshot, so as to improve query performance without adding extra storage overheads.

Data query method and apparatus

Wrist watch

Growing community of inventors

Shenzhen, China

Peng Li