Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Other

Institute of Laboratory Animal Sciences, Cams & Pumc

Chuan Qin

Hengshu Zhu

Chao Ma

Tong Xu

Kaichun Yao

Peng Wang

Hui Xiong

Jingshuai Zhang

Chen Zhu

Zheng Dong

Dazhong Shen

Chao Wang

Yue Wu

Ling Zhang

Jue Wang

Qi Kong

Yitong Li

Tingting Feng

A method and an apparatus for constructing an object relationship network and an electronic device are provided by the present disclosure, relating to the field of artificial intelligence technologies, such as deep neural networks, deep learning, etc. A specific implementation solution is: extracting keywords in respective text contents corresponding to a plurality of objects to obtain keywords corresponding to respective objects; and according to the keywords corresponding to the objects, a similarity between the plurality of objects is determined; and then according to the similarity between the plurality of objects, an object relationship network between the plurality of objects is constructed. Since the object relationship network constructed by means of the similarity between the plurality of objects can accurately describe a closeness degree of a relationship between the objects, thus, the plurality of objects can be managed effectively by means of the constructed object relationship network.

Method and apparatus for constructing object relationship network, and electronic device

Provided is a method and system for recommendation and comparative analysis of an animal model of neurological diseases, and relates to the field of data analysis technology. The method includes obtaining a plurality of pieces of related literature on animal models of neurological diseases; extracting, for each piece of related literature on animal models of neurological diseases, information from the related literature on animal models of neurological diseases to obtain literature information of the related literature on animal models of neurological diseases; preprocessing the literature information to obtain phenotypes and application data corresponding to the related literature on animal models of neurological diseases, constructing an animal model database based on application data corresponding to all the related literature on animal models of neurological diseases, and developing a comparative analysis function; and determining a recommended model based on a user input instruction and the animal model database.

Method and system for recommendation and comparative analysis of animal model of neurological diseases

A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.

Method for determining text topic, and electronic device

A method, an apparatus, a device and a medium for generating a recruitment position description text are provided. The method may include: obtaining the original text related to the target position; and generating a target recruitment position description text corresponding to the target position based on the original text and a pre-trained deep neural network model.

Method, apparatus, device and medium for generating recruitment position description text

This application discloses a keyword generating method, an apparatus, a device and a storage medium, which relate to the field of natural language processing in the field of artificial intelligence. A specific implementation scheme includes: inputting a target text into a text processing model, obtaining a word sequence corresponding to the target text, and generating a semantic representation sequence corresponding to the word sequence; making prediction about each semantic representation vector in the semantic representation sequence respectively to obtain a prediction result; and if the prediction result indicates that a word corresponding to the semantic representation vector is capable of triggering a generation of a keyword, outputting the keyword based on the semantic representation vector and the prediction result. This method improves the accuracy of generating keywords.

Keyword generating method, apparatus, device and storage medium

Embodiments of the present disclosure provide a method and apparatus for recommending a test question, and an intelligent device. The method includes: acquiring a plurality of skill entities of a post; calculating, according to the data of the post, a weight value of each of the plurality of skill entities; and acquiring, according to the weight value of each skill entity, a recommended test question of the post from a question bank.

Method and apparatus for recommending test question, and intelligent device

A hierarchical data acquisition system and method applied to a marine information network are provided. Multiple sensor nodes are arranged in clusters, each of the clusters includes a cluster head node and multiple ordinary nodes. The multiple ordinary nodes acquire data information of a seafloor and transmit the acquired data information to the cluster head node, and the cluster head node aggregate the data and transmits the aggregated data to an autonomous underwater vehicle, reducing energy consumption of each of the sensor nodes, prolonging service lives of sensors of a data acquisition layer, and improving data acquisition efficiency of a data acquisition layer. In addition, after each of data acquisition periods, a sensor node in each of the clusters is selected as a cluster head node in a next data acquisition cycle. Cluster head nodes are continuously updated in cycles.

Layered data acquisition system applied to marine information network and method thereof

Embodiments of the disclosure provide a method and an apparatus for talent-post matching, a device and a medium, which relates to the field of information matching and recruitment. The method includes: determining a resume feature representing a resume to be predicted according to a post submitted and the resume to be predicted; and predicting a matching degree between the resume to be predicted and the post by using a pre-trained predictive model according to a post feature of the post and the resume feature. With the method and the apparatus for talent-post matching, the device and the medium provided in embodiments of the present disclosure, the resume and the post may be matched automatically.

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Beijing, China

Chuan Qin