Parsing and medata extraction¶
we conduct detailed parsing and content extraction of the collected papers to ensure precise retrieval.
Source analysis:¶
We analyze the source of a PDF document through various methods including
structured PDF parsing, keyword frequency analysis, LLM-assisted analysis.
such as from Nature, IEEE, etc.
For details, refer to Code docs:Fun_modules.paper.parse.extractors.source_analyze
Structured parsing for papers:¶
Based on the analyzed paper source, we use the corresponding parsing templates to parse the document,
extracting sections such as Abstract, MainText, Methods, References, etc.,
to enable more precise literature database retrieval.
Labridge support the following parsing templates now：
- Nature Parser: refer to Code docs Fun_modules.paper.parse.parsers.nature_parser
- IEEE Parser: refer to Code docs Fun_modules.paper.parse.parsers.ieee_parser
Metadata Extraction:¶
Labridge utilizes LLM (Large Language Models) to extract metadata from literature, such as article title, article keywords, author information, author affiliation, publication date, etc. Papers downloaded from journal websites by Labridge often already contains sufficient metadata. For such documents, this step involves supplementing any metadata that is not already provided.
Refer to Code docs Fun_modules.paper.parse.extractors.metadata_extract for details.
