GitHub - SayamAlt/DialogSum-Summarization-using-Seq2Seq-Attention: Successfully developed a dialogue summarization model using a Seq2Seq architecture with Attention on the DialogSum dataset to generate concise and coherent summaries of multi-turn conversations.

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Successfully developed a dialogue summarization model using a Seq2Seq architecture with Attention on the DialogSum dataset to generate concise and coherent summaries of multi-turn conversations.

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Name		Name	Last commit message	Last commit date
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train		train
validation		validation
.gitignore		.gitignore
dialogsum-summarization-using-seq2seq-attention.ipynb		dialogsum-summarization-using-seq2seq-attention.ipynb
model.png		model.png
projector_config.pbtxt		projector_config.pbtxt

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Successfully developed a dialogue summarization model using a Seq2Seq architecture with Attention on the DialogSum dataset to generate concise and coherent summaries of multi-turn conversations.