Beijing Xiaomi Pinecone Electronics Co., Ltd.

Boe Technology Group Co., Ltd.

Yulan Hu

Bin Wang

Shuo Wang

Erli Meng

Liang Shi

Yuankai Guo

Yingzhe Wang

Tuo Sun

Shuo Zhang

Yanzhao Li

Chao Zhou

Zhenzhong Zhang

Cuifang Zhang

Sifan Wang

Longfei Li

Xinyu Hua

A linewidth measurement method includes: obtaining a target image of the line, the line including a first line segment; performing region connecting on an edge image or binary image of the target image to obtain a region connected image, the region connected image including a target connected region corresponding to a pattern of the line, and a pixel value of each pixel in the target connected region being different from that of each pixel outside the target connected region; determining a first edge point and a second edge point of the first line segment based on the region connected image; and determining a width of the first line segment according to the first edge point and the second edge point, and determining the width of the line according to the width of the first line segment.

Linewidth measurement method and apparatus, computing and processing device, computer program and computer readable medium

An exercise recommendation method and apparatus are described. The method includes: acquiring basic information of a user; querying a pre-established exercise knowledge graph according to the basic information of the user to obtain a target exercise mode list comprising exercise modes, and an evaluation attribute list comprising evaluation attributes corresponding to the target exercise mode list; determining at least one exercise program according to the target exercise mode list and the evaluation attribute list; performing ranking processing on the at least one exercise program according to the evaluation attribute list to obtain a ranking result; recommending at least one target exercise program according to the ranking result.

Exercise recommendation method and apparatus electronic device and computer-readable storage medium

A method for semantic recognition includes: in response to performing semantic analysis on information acquired by a terminal, a sentence to be processed is acquired; word recognition is performed on the sentence, to obtain a plurality of words and part-of-speech information corresponding to each of the words; a target set update operation is determined with a word processing model, according to one or more words to be input, part-of-speech information of the words to be input, and a dependency relationship of a first word. The word processing model is configured to calculate first and second feature vectors according to a word feature vector of the words to be input, a part-of-speech feature vector of the part-of-speech information and a relationship feature vector of the dependency relationship of the first word, calculate confidence levels of the preset set update operations according to the first feature vector and the second feature vector.

Method, apparatus, electronic device and storage medium for semantic recognition

At a terminal equipment side, sentence information received by the terminal equipment is acquired. A part-of-speech label sequence of text data in the sentence information for which part-of-speech labelling is to be performed is extracted. A detection result is acquired by detecting legitimacy of the part-of-speech label sequence. When the detection result indicates that the part-of-speech label sequence is illegitimate, the part-of-speech label sequence is corrected. A corrected part-of-speech label sequence is output as a result of performing part-of-speech labelling on the text data. Semantics corresponding to the sentence information is determined according to output sentence information with part-of-speech labels.

Method and device for semantic analysis and storage medium

A method for semantic recognition includes: in response to performing semantic analysis on information acquired by a terminal, a sentence to be processed is acquired. Word recognition is performed on the sentence to be processed, to obtain a plurality of words and part-of-speech information thereof. A target set update operation is determined with a pre-trained word processing model, according to a word to be processed in the set of words to be processed and part-of-speech information of the word to be processed. If a dependency relationship corresponding to the target set update operation is a first dependency relationship, through each of the plurality of preset set update operations, a respective dependency relationship of the word to be processed and a respective confidence level corresponding to the dependency relationship is determined, and a respective update of the set of words to be processed is performed.

Method for semantic recognition and electronic device

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Beijing, China

Yulan Hu