Technical Realization and Application Value of Intelligent Document Services
The academic search engine carried by the platform interfaces in real time with mainstream databases such as CNKI, PubMed, IEEE, etc., and applies natural language processing and citation network analysis technology to ensure that the recommended references meet the three core standards: timeliness (85% of post-2019 literature), authority (78% of core journals), relevance (subject match) 91%). Test data show that the system generates an average of 25 real and checkable references per paper, including complete DOI and APA format citations, saving researchers about 12 hours/million words of literature search time.
- Innovative Literature Quality Scoring System (LQS) automatically filters low-quality literature
- Support for mixed citations in Chinese, English, Japanese, Korean, Russian and other languages.
- Provide the function of ranking the importance of literature and labeling key paragraphs
This answer comes from the articleMagic Maker AI Essay: a writing tool to assist AI in generating original essaysThe
May not be reproduced without permission:AI productivity tools " Magic Maker AI's reference system can automatically track the latest scholarship from the last 5 years
