graph_summarizer
nlp_graph
| graph_summarizer | nlp_graph | |
|---|---|---|
| 1 | 1 | |
| 0 | 1 | |
| - | - | |
| 0.0 | 2.6 | |
| over 2 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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graph_summarizer
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graph_summarizer
Here's the link to the repo
nlp_graph
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graph_summarizer
Little prehistory: some time ago I worked on graph visualizations based on vector embedding of texts . This vizualisations show relational "distance" between words of sentences. So user can visualize graph of distances between word of text, also you can apply some advanced graph-theoretic approaches to further analyze input text and it's hidden features. I want to use this approach to try on text summarization problem - in my case to extract some more informative sentences from text to compress original text.
What are some alternatives?
eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions
adjustText - A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
course-nlp - A Code-First Introduction to NLP course
pycaret - An open-source, low-code machine learning library in Python
community-vaccines - Could Graph Optimizations Help Deliver Donated Covid Vaccines Overseas PreExpiry?
radius-constrained-kmeans - Codes for "No More Than 6FT Apart: Robust K-Means via Radius Upper Bounds", ICASSP 2022