9 results about "Automatic writing" patented technology

A data processing system obtains source textual content associated with a first writing style and target textual content associated with a second writing style and provides the source textual content as an input to a first machine learning model which analyzes the source content to determine the first writing style of the first textual content. The system provides an indication of the first writing style and the target textual content as an input to a second machine learning model which analyzes the target textual content and rewrites the target textual content according to the first writing style to output updated target textual content rewritten according to the first writing style. Some implementations utilize a single model trained to receive the source textual content, the target textual content, to determine the writing style of the source textual content and rewrite the target textual content according to the first writing style.

The invention discloses a clinical research report automatic writing system and method based on artificial intelligence, and relates to the technical field of data processing, and the system comprises a data collection module, a relation mapping module and a training fine tuning module; the technical key points are as follows: extracting report elements from equipment portrait data and clinical research data, pre-training a preset large language model based on a report element mapping relationship, constructing a corresponding fine tuning instruction based on the mapping relationship, and performing fine tuning of corresponding parameters to obtain an optimized large language model; in the process, the knowledge integrity of the large language model is protected, the focus area is strengthened, the adverse reaction type is forcibly constrained, the internal structure of the equipment and the over-limit threshold value of the equipment are considered, and semantic understanding of automatic writing of a clinical research report is strengthened; automatic mapping from the text to the structured dimension is achieved, the matching precision can be continuously improved through dynamic learning and multi-modal fusion, and the accuracy and efficiency of automatic writing are improved.

The invention relates to the technical field of computer software demand analysis and automation, and discloses an automatic writing method and system oriented to demand analysis, and the method comprises the steps: constructing a domain knowledge graph containing a component mutual exclusion and dependency relationship, and deducing and generating a component compatibility matrix; converting the unstructured demand text into structured features by using a natural language processing algorithm; generating a virtual configuration list in combination with the atlas, and performing conflict detection based on a compatibility matrix and a supervision protocol; when violation is detected, the topological connectivity is quantified by calculating the sum of in-degree and out-degree of the component in the map, and the component is retrieved and replaced according to the topological connectivity for automatic correction; monitoring a change event, calculating an influence domain by using a weight conduction algorithm, and triggering local re-verification; and finally, generating a descriptive text, and executing consistency check by reversely extracting numerical values. According to the method, the configuration verification efficiency and the correction stability are improved through matrix operation and topology analysis, and the accuracy of the demand analysis document is ensured.

This application belongs to the field of emergency management and artificial intelligence technology, specifically disclosing an automatic emergency plan writing system and method. The system comprises a six-layer technical collaboration architecture with vertical linkage and collaborative operation from top to bottom: an infrastructure layer, a cloud-native layer, a model layer, an application technology layer, a capability layer, and an application layer. This architecture enables AI-driven intelligent writing of emergency plans throughout the entire process. The infrastructure layer serves as an intelligent computing power base for AI task perception; the cloud-native layer is an elastic service engine driven by emergency scenarios; the model layer is a multimodal collaborative intelligent decision-making hub; the application technology layer is an intelligent technology toolbox and AI capability transformation hub adapted to emergency scenarios; the capability layer is a hub for intelligent service interfaces specific to emergency scenarios; and the application layer is an intelligent application system for the full-scenario implementation of emergency plan writing. This application can effectively improve the writing efficiency, quality, and dynamic adaptability of emergency plans.

The utility model relates to an automatic writing device capable of automatically rolling pages. Comprising a supporting frame, and a writing area is arranged in the supporting frame; a page rolling mechanism and a writing mechanism are arranged in a writing area in the supporting frame. The page rolling mechanism comprises at least one set of reversing rollers and at least one set of rolling rollers which are arranged in the writing area, the paper makes contact with the bottom position, opposite to the writing area, of the rolling rollers, and the paper winds around the bottoms of the reversing rollers, then is folded upwards and extends in the direction opposite to the rolling rollers; the reversing roller and the rolling roller are driven in the same rotating direction through two groups of synchronously rotating driving mechanisms; the writing mechanism comprises a height lifting mechanism, and the writing pen is connected to the height lifting mechanism; the position control mechanism comprises an X-axis moving mechanism and a Y-axis moving mechanism which are arranged on the supporting frame, the Y-axis moving mechanism is fixed to the X-axis moving end of the X-axis moving mechanism, and the writing pen height increasing mechanism is fixed to the Y-axis moving end of the Y-axis moving mechanism.

The disclosure provides a natural language processing and artificial intelligence-based tender automatic writing method and system, an electronic device, a storage medium and a program product to solve the problems of low efficiency, omissions and compliance risks in tender writing. The method comprises: importing a tender document and parsing, performing deep semantic understanding on the parsed tender document, and extracting structured key information; based on the extracted format specification information, automatically standardizing the layout of the tender document; based on the structured key information, intelligently retrieving and matching related text content from a pre-constructed industry knowledge base, and automatically filling into the corresponding chapters of the tender document; identifying parts that cannot be automatically generated or need to be customized, and performing visual marking to prompt manual writing; performing multi-dimensional automatic checking on the tender content after preliminary filling and writing; and outputting the checked tender template file. The disclosure effectively improves the efficiency and standardization of tender writing.

The application discloses an automatic writing and pushing method and device of an operation manual and related components, and the method comprises the following steps: starting a project initialization script, obtaining an initialized general data set, and starting a project customization script to obtain property information input data set generated by a customer service provider; the corresponding contents in the general data set and the property information input data set are matched through a logic matching algorithm; an automatic writing program is started, the property information input data set and the data set after successful logic matching are written into a manual document; a manual content automatic design and layout program is started, automatic design and layout are performed on the edited content in the manual document, and a designed manual document is obtained; and an automatic distribution and pushing program is started, and the designed manual document is automatically distributed and pushed to project related personnel. The application improves the efficiency and collaboration ability of management and operation personnel, and has a good effect of "reducing cost and increasing efficiency".

The invention relates to the technical field of medicine market admission and artificial intelligence, and discloses a knowledge reasoning-based medicine admission report automatic writing system, which comprises a data integration module used for collecting multi-dimensional data and constructing a medicine admission knowledge base; the antagonistic rhetorical strategy module is used for formulating a demonstration blueprint containing a demonstration strategy for the knowledge base; the knowledge reasoning module performs analysis reasoning according to blueprint guidance and outputs a result; the evaluation module is used for judging a quasi-input condition according to a reasoning result and generating a comprehensive evaluation conclusion; and the report generation module is used for automatically writing and outputting a medicine access report in combination with the evaluation conclusion and the argument blueprint. Through cooperative work of multiple modules, automation and intellectualization of the whole report writing process are achieved, and the problems that in the prior art, manual work is relied on, efficiency is low, and deep intelligent evaluation ability is lacked are effectively solved.

The application discloses an automatic writing system and method for a clinical research report based on artificial intelligence, relates to the technical field of data processing, and comprises a data acquisition module, a relationship mapping module and a training fine-tuning module; the technical key points are as follows: report elements are refined from equipment portrait data and clinical research data, and based on the report element mapping relationship, a pre-set large language model is pre-trained, a corresponding fine-tuning instruction is constructed based on the mapping relationship, corresponding parameters are fine-tuned, and an optimized large language model is obtained; in this process, not only the knowledge integrity of the large language model is protected, the lesion area is strengthened, and the adverse reaction type is forcedly constrained, but also the internal structure of the equipment and its over-limit threshold are considered, and the semantic understanding of the automatic writing of the clinical research report is strengthened; the automatic mapping from text to structured dimension is realized, the matching accuracy can be continuously improved through dynamic learning and multi-modal fusion, and the accuracy and efficiency of the automatic writing are improved.