TagStudio
grobid
| TagStudio | grobid | |
|---|---|---|
| 2 | 12 | |
| 1,863 | 3,120 | |
| 50.7% | - | |
| 8.6 | 9.2 | |
| 2 days ago | 9 days ago | |
| Python | Java | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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TagStudio
grobid
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- Grobid – ML software for extracting information from scholarly documents
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How to create a web app that turns academic papers into text documents
Interesting concept. Grobid tries to do the same https://github.com/kermitt2/grobid
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Extract research paper`s references
I would suggest using grobid - a pipeline for extracting scientific PDFs into a common XML format which can be easily parsed. Grobid has quite a nice mature REST API that I've used in some of my own projects. It parses references and matches them to their DOI using the CrossRef API with a reported 95% F1 score. This should make your job pretty simple as far as I can tell - all you'd need to do is run your papers through grobid and then build a citation graph by comparing document DOIs.
- Free/open-source alternatives to Connected Papers...?
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Seeking Advice: How to extract Abstract from scientific journals (.pdfs) 10k+.
Just use science-parse or GROBID. They have been designed for that exact reason.
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Project to rebuild papers with plaintext markup languages
- I ended up using Grobid, which converts the PDF to a very detailed XML format. The format is not a word processing format though, but a format specifically for representing scientific documents. I don't know, if it would, for example, contain tags about bold or italicized text. The tool is working really well, but since you probably cannot use the output XML format directly, it will need some postprocessing, which would be relatively simple with XML parsing libraries.
What are some alternatives?
Parsr - Transforms PDF, Documents and Images into Enriched Structured Data
CERMINE - Content ExtRactor and MINEr
Smile - Statistical Machine Intelligence & Learning Engine
science-parse - Science Parse parses scientific papers (in PDF form) and returns them in structured form.
datahub - The Metadata Platform for your Data Stack
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
Tribuo - Tribuo - A Java machine learning library
s2orc-doc2json - Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
pdfextract
pandoc - Universal markup converter
hms-ml-demo - HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.