Skip to content

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.

Notifications You must be signed in to change notification settings

SayamAlt/CiteSum-Summarization-using-Seq2Seq-Attention

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 

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.

Topics

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published