GitHub - SayamAlt/CiteSum-Summarization-using-Seq2Seq-Attention: Successfully implemented a sequence-to-sequence text summarization model with attention mechanism to generate concise and context-aware abstractive summaries for citation-based academic texts from the CiteSum dataset, enabling efficient literature review and reference management.

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

About

Successfully implemented a sequence-to-sequence text summarization model with attention mechanism to generate concise and context-aware abstractive summaries for citation-based academic texts from the CiteSum dataset, enabling efficient literature review and reference management.

attention-is-all-you-need attention-mechanism encoder-decoder-attention encoder-decoder-model keras keras-tensorflow natural-language-processing seq2seq-attn seq2seq-model seq2seq-tensorflow sequence-to-sequence-models tensorflow text-generation text-summarization

Activity

0 stars

0 watching

0 forks

Report repository