Alibaba Group Holding Limited

Zhongce Rubber Group Co., Ltd

Yining Chen

Yang Yang

Ying Zhang

Zhang Liu

Menghui Chen

Honghua He

Juan Sun

Weijun Fu

Jiexiong Wang

Sha Chen

Haibo Sun

Vehicle tyre

An information query method and device. The method comprises: converting a query text in a natural language entered by a user, into a structured statement in an abstract query language; converting the statement in an abstract query language into a basic query statement or multiple iterated basic query statements (S); and for a prepared database, performing query operations according to the basic query statement or the multiple iterated basic statements. Intentional analysis can be performed firstly on query texts in a natural language entered by a user to filter out a text requiring no query, a query text meeting the intention is converted into a statement in a abstract query language, then the statement in the abstract query language is converted into a basic query statement or multiple iterated basic query statements, most query intentions can be covered, complex logical and reasoning query can be achieved, and query results can be returned conveniently.

Information query method and device

Example methods and devices for processing a page are described. One or more pages of a designated website are acquired. The one or more pages are clustered to obtain one or more classes in accordance with page features of the pages. At least one class is selected as a list page set according to a page linking relationship between the one or more classes. It is not necessary to require an operator to manually involve in the process of establishing the list page set. The present techniques have simple operations and high accuracy rate, thereby improving an efficiency and reliability of establishing a list page library.

Processing page

Target word recognition includes: obtaining a candidate word set and corresponding characteristic computation data, the candidate word set comprising text data, and characteristic computation data being associated with the candidate word set; performing segmentation of the characteristic computation data to generate a plurality of text segments; combining the plurality of text segments to form a text data combination set; determining an intersection of the candidate word set and the text data combination set, the intersection comprising a plurality of text data combinations; determining a plurality of designated characteristic values for the plurality of text data combinations; based at least in part on the plurality of designated characteristic values and according to at least a criterion, recognizing among the plurality of text data combinations target words whose characteristic values fulfill the criterion.

Recognition of target words using designated characteristic values

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Hangzhou, China

Yining Chen