Long Document Summarization System
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A Long Document Summarization System is a document summarization system that implements a long document summarization algorithm to support a long document summarization task.
- Context:
- It can (typically) be designed to maintain the integrity and continuity of the original document's content while ensuring that the summary is informative and reflective of the document’s entire scope.
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- Example(s):
- an LLM-based Long Document Summarization System, which leverages state-of-the-art language models to parse and summarize long texts.
- a Long Contract Summarization System, specifically tailored to condense the complex legal language and clauses of lengthy contracts into understandable summaries.
- a Long Scientific Paper Summarization System, designed to summarize extensive research papers by capturing their methodology, results, and conclusions.
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- Counter-Example(s):
- a Short Document Summarization System, optimized for summarizing brief articles or documents that do not require the breakdown into smaller processing tasks.
- a Real-time News Summarization System, focusing on delivering concise summaries of news articles in real-time without the need for extensive document handling capabilities.
- See: Long Document Generation System, Document Summarization System, Natural Language Processing (NLP), Large Language Models (LLMs).