Feature Request: Text Summarization - Implement Extractive and Abstractive Summarization

[HsiangNianian]

Text summarization is the task of generating a concise version of a document. This task involves implementing both extractive and abstractive summarization models.

• Extractive vs Abstractive: What are the strengths and weaknesses of both approaches?
• Model Selection: Should we use pre-trained models (e.g., BART, T5) or custom models?
• Evaluation: What metrics will be used to evaluate summaries (e.g., ROUGE score)?

Expected Outcome:

• An extractive and abstractive summarization model that can condense long texts into short summaries.
• Clear API for integrating summarization capabilities into applications.

Labels: feature, NLP, text-summarization