Beijing Xiaomi Pinecone Electronics Co., Ltd.

Beijing Xiaomi Mobile Software Co., Ltd.

Yuankai Guo

Bin Wang

Erli Meng

Liang Shi

Shuo Wang

Yulan Hu

Yingzhe Wang

Xinyu Hua

A method for determining text similarity, a storage medium and an electronic device. The method includes: obtaining a first coding sequence corresponding to the first text and a second coding sequence corresponding to the second text; obtaining a first fusion feature corresponding to the first coding sequence and a second fusion feature corresponding to the second coding sequence based on the first coding sequence and the second coding sequence; converting the first fusion feature and the second fusion feature into a corresponding first semantic feature and a second semantic feature for representing semantics, and determining a text similarity between the first text and the second text based on the first semantic feature and the second semantic feature.

Method for determining text similarity, storage medium and electronic device

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.

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Beijing, China

Yuankai Guo