Text Summarization using the Transformer Model
The vast amount of online communication can cloud a reader’s judgment. Our project aims to utilize seq2seq models and attention mechanisms to summarize textual inputs abstractedly.
The vast amount of online communication can cloud a reader’s judgment. Our project aims to utilize seq2seq models and attention mechanisms to summarize textual inputs abstractedly.
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