extract-struct

To extract structured metadata from academic paper text, this Skill parses unstructured text using LLM analysis to identify and output the title, authors, year, venue, and abstract into a defined JSON schema.

Yes, you can automatically parse research paper abstracts and authors by providing a Note ID or variable containing the full text, which the LLM analysis then processes to catalog the scholarly article.

The best way to catalog scholarly articles for a research database is to use LLM analysis to extract bibliographic information like title, authors, year, and venue, populating a structured JSON schema automatically.

Metadata extraction does not require a specific file format, but accepts a Note ID or a variable containing the full text or initial pages of the academic paper to process the unstructured text.

LLM analysis handles unstructured text to identify publication years and venues by parsing the provided paper text and mapping the extracted bibliographic information into a defined JSON schema.

A key limitation when extracting abstracts from initial paper pages is that the LLM analysis relies entirely on the provided text input; if the text lacks explicit venue or author details, the JSON schema output will be incomplete.