12) ABSTRACTIVE TEXT SUMMARIZATION

Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text.

OBJECTIVE

● Design the Seq-Seq transformer architecture for performing abstractive summarization tasks.

● Deploy the trained model into a web application, which facilitates the input of the corpus and displays the summarized result.

● Access the performance of the model using ROUGE metrics.

● Datasets of any choice can be used to train the model. DATASET: https://huggingface.co/datasets/xsum