Text summarization for article content

[arvindpdmn]

• Given text from references, generate a summary.
• "Summary"" is meant for Summary and Discussion sections. For Discussion, summaries have to be "clustered" and brought under suitable questions. It may be related to #428

[arvindpdmn]

Some useful resources:

• https://devopedia.org/text-summarization
• https://devopedia.org/question-answering
• Survey papers:
  • https://arxiv.org/abs/2011.04843
  • https://american-cse.org/sites/csci2020proc/pdfs/CSCI2020-6SccvdzjqC7bKupZxFmCoA/762400b503/762400b503.pdf
• http://pfliu.com/Historiography/summarization/summ-eng.html
• http://nlpprogress.com/english/summarization.html
• Routing Transformer and REALM: https://ai.googleblog.com/2021/03/progress-and-challenges-in-long-form.html
• PEGASUS: https://ai.googleblog.com/2020/06/pegasus-state-of-art-model-for.html
• T5: https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html
• CAiRE-COVID: https://arxiv.org/abs/2005.03975
• BART: https://arxiv.org/pdf/1910.13461.pdf
  • TLDR: https://arxiv.org/abs/2004.15011
• Graph models:
  • https://arxiv.org/abs/1811.01824
  • https://www.aclweb.org/anthology/P04-3020.pdf
• Generating Wikipedia: https://arxiv.org/abs/1801.10198
• WikiAsp: Aspect-based summarization: https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00362/1894310/tacl_a_00362.pdf
• General reading:
  • https://cacm.acm.org/magazines/2021/4/251336-the-best-of-nlp/fulltext
  • https://web.ntpu.edu.tw/~myday/teaching/1102/AITA/1102AITA07_AI_for_Text_Analytics.pdf