2results about How to "Extract automatically" patented technology

This invention discloses a requirement tracking method, apparatus, device, and medium based on a large language model, relating to the field of artificial intelligence technology. The method includes: performing hierarchical structure tracking and nested table linearization on the document to be processed, and semantically segmenting it; submitting each text block in parallel to a large language model to extract structured requirement items according to preset fields; calculating the cosine similarity between requirement items using an embedding model to recall a candidate matching set; then using the large language model to perform semantic association matching and coverage determination to obtain association mapping data; using the large language model to perform multi-level semantic matching on the requirement items, constructing a multi-level tracking link that supports cross-level matching between non-adjacent documents; and parsing the test item result description text and mapping it to a completed state when the link ends and contains a test document. This invention can improve the automation and accuracy of requirement item extraction, association matching, coverage determination, and full-link tracking, and enhance the fault tolerance of the tracking link.

The invention discloses a standard operation process extraction method and equipment based on a large language model, and relates to the technical field of computers. The method comprises the following steps: analyzing operation documents corresponding to a standard operation process extraction task, segmenting each operation document into at least one fragment, and determining fragment index information corresponding to each fragment; for each fragment, determining a structuring step corresponding to the fragment based on an extraction result of structuring extraction of the fragment by a large language model; and according to the fragment index information corresponding to each fragment, combining the structured steps corresponding to each fragment to obtain a structured process corresponding to the standard operation process extraction task. According to the technical scheme, through the technologies of text fragmentation, structured extraction, structured aggregation and the like, the problems of low extraction efficiency and low accuracy of the structured process are effectively solved, and automatic and intelligent extraction of the structured process is realized.