METHOD FOR PARSING QUERY BASED ON ARTIFICIAL INTELLIGENCE AND COMPUTER DEVICE

    公开(公告)号:US20180373692A1

    公开(公告)日:2018-12-27

    申请号:US15875453

    申请日:2018-01-19

    Inventor: Qiongqiong LIU

    Abstract: A method for parsing a query based on artificial intelligence, a computer device and a computer program product are provided. The method may include: acquiring annotated data including an annotated search instance, an annotated template instance, a field of a search intent and a category in the field, an attribute of a term in the annotated search instance and a concrete term included in the attribute; performing a training on the annotated data so as to generate an instance dictionary, a template dictionary and an inverted index dictionary; acquiring a target query to be identified; and parsing the target query based on the instance dictionary, the template dictionary and the inverted index dictionary, so as to acquire a target parsing result corresponding to the target query.

    CONVERSATION PROCESSING METHOD AND APPARATUS BASED ON ARTIFICIAL INTELLIGENCE, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20180357571A1

    公开(公告)日:2018-12-13

    申请号:US16006213

    申请日:2018-06-12

    CPC classification number: G06N99/005 G06F7/14 G06F17/2785

    Abstract: A conversation processing method and apparatus based on artificial intelligence, a device and a computer-readable storage medium. The disclosure embodiments, enable the user feedback information provided by conversation service conducted by the user to model conversation understanding system, then according to the user feedback information, perform adjustment processing for a service state of the model conversation understanding system, to obtain an adjustment state of the model conversation understanding system so that it is possible to execute the conversation service with the model conversation understanding system, based on the adjustment state. Since a fault-tolerant and fault-correcting mechanism is provided, it is possible to adjust the understanding capability of the model conversation understanding system in real time and thereby effectively improve the reliability of conversation by collecting the user's user feedback information, and then adjusting the service state of the model conversation understanding system in time based on the user feedback information.

    METHOD AND APPARATUS FOR BUILDING A CONVERSATION UNDERSTANDING SYSTEM BASED ON ARTIFICIAL INTELLIGENCE, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20180357570A1

    公开(公告)日:2018-12-13

    申请号:US16006208

    申请日:2018-06-12

    CPC classification number: G06N99/005 G06F7/14 G06F17/2785

    Abstract: A method and apparatus for building a conversation understanding system based on artificial intelligence, a device and a computer-readable storage medium. In embodiments of the present disclosure, it is feasible to obtain the training feedback information provided by conversation service conducted by the user and the basic conversation understanding system, then according to the training feedback information, perform adjustment processing for a service state of the basic conversation understanding system, to obtain an adjustment state of the basic conversation understanding system. It is possible to perform data merging processing according to the training feedback information and the adjustment state of the basic conversation understanding system, to obtain model training data for building the model conversation understanding system. This method does not require persons to participate in annotation operations of the training data, exhibits simple operations and a high correctness rate, improving the efficiency and reliability of the conversation understanding system.

    Artificial Intelligence Based Method and Apparatus for Pushing News

    公开(公告)号:US20180352043A1

    公开(公告)日:2018-12-06

    申请号:US15942276

    申请日:2018-03-30

    Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for pushing news. A specific embodiment of the method includes: determining at least one news subject from a news text of to-be-pushed news; extracting, from the news text, text fragments respectively associated with news subjects; generating, for each of the news subjects, a subject tag based on the extracted text fragment through a deep learning method; and pushing the to-be-pushed news based on the at least one news subject and the generated subject tag. This embodiment may improve the effectiveness of news pushing.

    ARTIFICIAL INTELLIGENCE BASED METHOD AND APPARATUS FOR CHECKING TEXT

    公开(公告)号:US20180349350A1

    公开(公告)日:2018-12-06

    申请号:US15921386

    申请日:2018-03-14

    Abstract: This disclosure discloses an artificial intelligence based method and apparatus for checking a text. An embodiment of the method comprises: lexing a first to-be-checked text and a second to-be-checked text respectively, determining word vectors of the lexed words to generate a first word vector sequence and a second word vector sequence; inputting the first word vector sequence and the second word vector sequence respectively into a pre-trained convolutional neural network containing at least one multi-scale convolutional layer, identifying vector sequences in a plurality of vector sequences outputted by a last multi-scale convolutional layer as eigenvector sequences, to obtain eigenvector sequence groups respectively corresponding to the texts; combining eigenvector sequences in each eigenvector sequence group to generate a combined eigenvector sequence; and analyzing the generated combined eigenvector sequences to determine whether the first text and the second text pass a similarity check. The embodiment improves the flexibility in checking a text.

    METHOD AND APPARATUS FOR CORRECTING SPEECH RECOGNITION ERROR BASED ON ARTIFICIAL INTELLIGENCE, AND STORAGE MEDIUM

    公开(公告)号:US20180342233A1

    公开(公告)日:2018-11-29

    申请号:US15986273

    申请日:2018-05-22

    Inventor: Hehan LI Wensong HE

    Abstract: The present disclosure provides a method and apparatus for correcting a speech recognition error based on artificial intelligence, and a storage medium, wherein the method comprises: obtaining a second speech recognition result of a second speech query input by the user; performing error-correcting intention recognition according to the second speech recognition result; extracting error-correcting information from the second speech recognition result when it is determined that the user has an error-correcting intention; screening error-correcting resources according to the error-correcting information, and using a selected best-matched error-correcting resource to perform error correction for the first speech recognition result, the first speech recognition result being a speech recognition result of a first speech query which is input before the second speech query. The solution of the present disclosure may be applied to improve accuracy of error-correcting results and reduce the error-correcting difficulty.

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