To achieve accurate data extraction from academic literature, a speech whale can be used toWhalecolor Q&A feature set program::
- After uploading the thesis file go to the Q&A module and use theStructured Questioning: e.g. 'What are the experimental data for 2022 in Table 3?' More precise than generalized questions
- The system will mark the exact location of the answer in the original text (e.g., chapter/paragraph) and support clicking on the traceability verification
- For continuous data requirements, use theround-robin questioning: e.g. if you ask 'what are the research methods' and then ask about the sample size for a specific method, the AI will keep the context coherent
- Key data can be addedSynchronize notes across devicesThe database will be formed in the 'Personal Center'.
This program is especially suitable for the literature review stage, and the measured accuracy of locating Chinese papers reaches 92%, which is more than 5 times higher than the efficiency of manual search. Pay attention to checking the original expressions of important data to avoid model inference errors.
This answer comes from the articleLingoWhale: a reading tool that intelligently extracts key information from articlesThe
May not be reproduced without permission:AI productivity tools " How can I accurately extract specific data from academic papers?
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