paper-reading

To automatically summarize and analyze research papers, this tool reads the content, classifies the paper type, extracts key figures, and fills a structured template using content analysis libraries.

Yes, you can analyze papers from arXiv, ACL Anthology, and OpenReview. The Skill uses web scraping to fetch paper data directly from these supported repositories.

Yes, the paper analysis tool supports local PDF files. It uses PDF parsing libraries to read and summarize text-based papers directly from your local storage.

To identify the type of a research paper automatically, the Skill analyzes the content to classify it as empirical, theoretical, survey, or systems, and then includes this classification in the summary.

Yes, you need playwright and pypdf2 to generate a research summary. Playwright handles web scraping for online papers, while pypdf2 parses local PDF files for content analysis.

The best way to extract key figures from a research paper is to use an automated summarization tool that reads the document and pulls out the important visual data into a structured format.