ash-shar/Scientific-Article-Summarization-using-LSTMs

Github Repository for LSTM-based system generating automated abstract of scientific articles

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This system helps researchers, academics, or anyone needing to quickly grasp the core ideas of scientific papers by automatically generating a concise abstract. It takes the full LaTeX source of a scientific article as input and outputs a summarized abstract, making it easier to decide if a full read is necessary. This is ideal for scientists, students, or knowledge managers dealing with a large volume of academic literature.

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Use this if you need to quickly generate abstracts for scientific articles, especially those from arXiv.org, to efficiently triage and understand research papers.

Not ideal if you need summaries for non-scientific texts or articles not in LaTeX format, or if you require human-level nuance and interpretation.

academic-research scientific-literature information-retrieval knowledge-management research-workflow
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Dec 21, 2017

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