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3 results about "Citation" patented technology

A citation is a reference to a published or unpublished source. More precisely, a citation is an abbreviated alphanumeric expression embedded in the body of an intellectual work that denotes an entry in the bibliographic references section of the work for the purpose of acknowledging the relevance of the works of others to the topic of discussion at the spot where the citation appears.

A kind of reference authentication method, device, equipment, medium and computer program product

PendingCN122285693AImprove reliabilityReduce manual verification costsSemantic alignmentEngineering
This invention discloses a citation verification method, apparatus, device, medium, and computer program product, comprising: acquiring original input; extracting the claim text to be verified and a candidate citation list associated with the claim text from the original input to form structured citation information and opinion citation pairs; performing existence verification on each candidate citation in the candidate citation list based on the structured citation information to determine whether the target document corresponding to the candidate citation actually exists and is accessible, generating an existence verification result, which at least includes a reason code and / or a hit method; and performing semantic alignment and support determination on the claim text and evidence fragments in the target document based on the opinion citation pairs to generate an opinion verification conclusion, which at least includes suggested actions and / or evidence location information. These technical features automate the entire citation verification process, improving the accuracy, traceability, and engineering reusability of citation verification.
Owner:SHANGHAI ARTIFICIAL INTELLIGENCE INNOVATION CENT

A scientific and technological literature innovation evaluation method based on large model agent technology

The application provides a scientific and technological literature innovation evaluation method based on a large model Agent technology, comprising: hierarchical classification of each citation source in a citation dataset in disciplines and research branches, determination of the discipline field code and specific research branch code thereof according to a discipline classification system, and obtaining citation distribution data containing complete classification labels; statistics of the number and proportion of citations of each research branch in the citation distribution data, and calculation of the crossing degree of the literature among different research branches; the large model Agent comprehensively evaluates the innovation value of the literature based on the crossing degree among the branches and the total number of citations, adjusts the weight of different literature according to the crossing degree among the branches, and generates an innovation value score dataset; the large model Agent cross- validates the candidate literature list, confirms the effectiveness of the cross-disciplinary breakthrough characteristics in combination with the information of the proportion of the number of citations of each branch, completes the final labeling, and identifies the breakthrough innovative literature.
Owner:广州市奇之信息技术有限公司

A method and system for quantitatively evaluating the influence of citations on emotional semantics deconstruction

PendingCN122346544APart of speechSemantics
This invention discloses a method and system for quantitatively assessing citation impact through sentiment semantic deconstruction, relating to the field of text analysis technology. The method includes: constructing a feature word score table; performing dependency parsing on the cited sentence to obtain a part-of-speech position feature set, segmenting the cited sentence, obtaining multiple cited clauses, removing non-evaluative feature words, and obtaining multiple optimized clauses; identifying the subject scores of the multiple optimized clauses and obtaining multiple subject score identification results; identifying the auxiliary word scores of the multiple optimized clauses and obtaining multiple auxiliary word score identification results; obtaining the score of each optimized clause and calculating the quantitative score of citation impact. This invention solves the technical problem in existing technologies where citation sentiment analysis only reaches a coarse-grained classification of positive, negative, and neutral, making it difficult to quantitatively assess the degree of citation impact. It achieves the technical effect of transforming qualitative citation impact evaluation into standardized quantitative scoring, improving the objectivity and comparability of the assessment.
Owner:DOCUMENT & INFORMATION CENT OF CHINESE ACAD OF SCI