Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

73 results about "Query transformation" patented technology

Apparatus and method for semantic search

Disclosed is a computer-implemented method for comparing text documents. The method comprises building a database comprising first text document data associated with a plurality of first text documents. The method further comprises receiving a query. The method also comprises converting the query to second text document data. The method further comprises comparing second text document data to first text document data and computing at least one similarity measure between second text document data and first document data. Further disclosed is a computer-implemented method for processing of similarities in text documents. The method comprises harmonizing at least one incoming query. It further comprises normalizing the at least one incoming harmonized query. The method also comprises constructing at least one query vector using the at least one normalized harmonized query. The method further comprises computing at least one similarity measure between the at least one query vector and at least one further text document, wherein the at least one further text document underwent the previous steps. Also disclosed is a computer-implemented system. The system comprises at least one memory component adapted for at least storing a database comprising a plurality of first text document data associated with first text documents. The system also comprises at least one input device adapted for receiving a query. The query comprises a second text document and / or information identifying a second text document. The second text document is associated with second text document data comprised within first text document data already stored within the memory component. The system further comprises at least one processing component adapted for converting a query into second text document data and / or retrieving second text document data associated with the query from storage within the at least one memory component. The processing component is also adapted to compare second text document data to the first text document data stored within the at least one memory component. The system also comprises at least one output device adapted for returning information identifying at least one similar first text document associated with first text document data. The similar first text documents is most similar among first text documents to the query.
Owner:DENNEMEYER OCTIMINE GMBH

Deep learning model adaptation method and device, and electronic equipment

ActiveCN111967568ASolve problems that are difficult to apply to different hardware terminalsEasy to understandNeural architecturesMachine learningPathPingTheoretical computer science
The invention discloses a deep learning model adaptation method and device, electronic equipment and a medium, and relates to the technical field of artificial intelligence, deep learning and cloud computing. According to the specific implementation scheme, the method comprises the steps: after model information of an original deep learning model and the hardware information of the target hardwareneeds to be adapted are acquired, querying the conversion path table according to the model information and the hardware information to obtain a matched target conversion path, converting the original deep learning model into an intermediate deep learning model in the conversion path according to the target conversion path, and converting the intermediate deep learning model into the target deeplearning model. Therefore, the model conversion path is determined based on the model information of the original deep learning model and the hardware information of the target hardware; the conversion of the deep learning model is carried out, the conversion of any type of original deep learning model into the target deep learning model adapted to any target hardware is achieved, and the problemthat the deep learning model is difficult to adapt to different hardware terminals is solved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Semantic retrieval system and method of vague concepts

The invention relates to a semantic retrieval system and method of vague concepts. The semantic retrieval system and method of the vague concepts are characterized in that the semantic retrieval system comprises an application layer composed of a human-computer interaction interface, a service logic layer and a data layer, wherein the service logic layer is composed of a preprocessing module, a query transformation module, a body expander, a query processing module and a customization processing module, and the data layer is composed of a plurality of index information bases; a user can submits a query request to the preprocessing module through the human-computer interaction interface for preprocessing, and an original retrieval word set is generated and submitted to the query transmission module; the query transformation module conducts vague concept transformation on the received retrieval word set to generate an expanded synonymous retrieval word set and a selectable semantic relativity retrieval word set which are then submitted to the query processing module and the customization processing module respectively; the query processing module retrieves the index information bases and submits retrieval results to the customization processing module; after the customization processing module processes the retrieval results and the selectable semantic relativity retrieval word set, submits the retrieval results and the selectable semantic relativity retrieval word set are submitted to the human-computer interaction interface.
Owner:RENMIN UNIVERSITY OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products