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MEETING SUMMARY BART LARGE XSUM SAMSUM DIALOGSUM

Developed by knkarthick
A sequence-to-sequence model based on the BART-large architecture, specifically fine-tuned for meeting summarization tasks and supports multi-dataset training
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Release Time : 3/2/2022

Model Overview

This model is obtained by fine-tuning facebook/bart-large-xsum, specifically designed for generating abstractive text summaries, excelling in summarization tasks for dialogues and meeting scenarios

Model Features

Multi-dataset Training
Fine-tuned on multiple summarization datasets including cnndaily/newyorkdaily/xsum/samsum/dialogsum
Dialogue Scenario Optimization
Specially optimized for meeting minutes and dialogue summarization scenarios
Abstractive Summarization Capability
Capable of generating non-extractive, semantically coherent summaries

Model Capabilities

Text Summarization Generation
Dialogue Content Compression
Meeting Minutes Simplification

Use Cases

Meeting Minutes Processing
Automatic Meeting Minutes Generation
Automatically generate concise key summaries from lengthy meeting dialogues
Generates meeting minutes that conform to human writing habits
News Summarization
News Content Simplification
Extract core content from lengthy news reports
Generate brief news summaries retaining key information
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