A pipeline for making highlighted text stand-alone.

Related tags

Text Processingworkflowhighlightspkmproductivity-toolspersonal-knowledge-management
Overview
title emoji colorFrom colorTo sdk app_file pinned
decontextualizer
📤
green
gray
streamlit
main.py
false

Decontextualizer

As a second step in improving our content consumption workflows, I investigated a new approach to extracting fragments from a content item before saving them for subsequent surfacing. While the lexiscore deals with content items on a holistic level -- evaluating entire books, articles, and papers -- I speculated then that going granular is a natural next step in building tools which help us locate specific valuable ideas in long-form content. The decontextualizer is a stepping stone in that direction, consisting of a pipeline for making text excerpts compact and semantically self-contained. Concretely, the decontextualizer is a web app able to take in an annotated PDF and automatically tweak the highlighted excerpts so that they make more sense on their own, even out of context.

Read more...

Installation

The decontextualizer can either be deployed from source or using Docker.

Docker

To deploy the decontextualizer labeler using Docker, first make sure to have Docker installed, then simply run the following.

docker run -p 8501:8501 paulbricman/decontextualizer

The tool should be available at localhost:8501.

From Source

To set up the decontextualizer, clone the repository and run the following:

python3 -m pip install -r requirements.txt
streamlit run main.py

The tool should be available at localhost:8501.

Screenshots

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Comments
  • PDF Failures

    PDF Failures

    Hello!

    I attempted two different PDFs (which I can share in a DM or a email) — one was an older-pre computer PDF that had been OCRed professionally and hilighted. Another was a modern PDF, of a book published last year, also highlighted. Zotero was able to extract from both using pdfjs. When i use https://huggingface.co/spaces/paulbricman/decontextualizer i get:

    File "/home/user/.local/lib/python3.8/site-packages/streamlit/script_runner.py", line 354, in _run_script
    exec(code, module.__dict__)
File "/home/user/app/main.py", line 17, in <module>
    components.add_section()
File "/home/user/app/components.py", line 46, in add_section
    excerpts = pdf_to_excerpts(filename)
File "/home/user/app/processing.py", line 48, in pdf_to_excerpts
    excerpt = extract_annot(annot, words)
File "/home/user/app/processing.py", line 24, in extract_annot
    quad_count = int(len(quad_points) / 4)
    opened by brimwats1 4
Releases(v1.0.0)
Owner
Paul Bricman
Building tools which augment the mind.
Paul Bricman
GitHub Repository https://paulbricman.com/thoughtware/decontextualizer
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