How to parse medical research papers' main text body?

[bounaux]

Hi,

Any suggestions to parse medical research papers? For example, if I donwload this research paper, https://www.nature.com/articles/s41421-022-00392-4#Sec1. I'd like to strip out the header/footer, author names, and other non-essential text, and only keep the text body. Any suggestions for how to do this pls? I'd like to find a generalized way to parse PDFs like this, minimize the amoutn of hard code anything if possible. Thank you!

[petermr]

This is a hard problem in general. I have been working on it for years and am close to having a first pass at a general solution which I hope to post here.
However the link that you give is to HTML text, not a PDF. (There IS a link to the PDF but it needs downloading).
In general it is much easier to parse and mine the HTML than the PDF.

If you want to mine the PDF then consider:

• PDF has no headers, no authors, no tables. It effectively only has chars, graphics paths, hyperlinks/annots and bitmap images. No words, no tables, no graphs. All those constructs are created by your brain. We have to reassemble these by ML and heuristics.
• HTML may have some of these constructs added by NIH in JATS XML. There's no real standard.
• There are hundreds of publishers and everyone uses a different layout.

So there is no general solution. Most pdf2html or pdf2txt tools discard the fonts and styles and often the indentation. This destroys a lot of the context.

I use pdfplumber as the primary parser and then build up the document structure and its semantics through heuristics.

You might want to look at GROBID (a Java based ML tool based on scholarly literature) which may solve some of you problems.

[bounaux]

Thx Peter for the note. Look forward to your new ideas. Yeah the list I psoted was the link to the document, I ended up just use web scraping instead of downloading the pdf itself. I found it to be easier than parsing the PDF version. But, there are a few docs I have here that don't have web version, so I'd love to eventually process them in a cleaner way.

[petermr]

I'm happy to discuss what you want and to offer our very alpha code pyami at https://github.com/petermr/pyamihtml which uses pdfplumber. I am concentrating on the running text - and the code does quite well for simple PDFs. If, for example you are looking for phrases in the text (to classify the documents) then it would be useful.If you what to extract bibliography (references) then there are already other tools that do this. So do you know what you want? And are there others in the PDFPlumber community who are doing text extraction?

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On Tue, Jan 2, 2024 at 11:41 PM David Mai ***@***.***> wrote: Thx Peter for the note. Look forward to your new ideas. Yeah the list I psoted was the link to the document, I ended up just use web scraping instead of downloading the pdf itself. I found it to be easier than parsing the PDF version. But, there are a few docs I have here that don't have web version, so I'd love to eventually process them in a cleaner way. — Reply to this email directly, view it on GitHub <#1075 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAFTCSZYSTMZRUT7T263KGLYMSLLPAVCNFSM6AAAAABBIQ3YISVHI2DSMVQWIX3LMV43SRDJONRXK43TNFXW4Q3PNVWWK3TUHM3TSOJXHE4TA> . You are receiving this because you commented.Message ID: ***@***.***>

-- Peter Murray-Rust Founder ContentMine.org and Reader Emeritus in Molecular Informatics Dept. Of Chemistry, University of Cambridge, CB2 1EW, UK