by Pengfei Liu, Yiran Chen, Jinlan Fu, Hiroaki Hayashi, Danqing Wang and other contributors.

An exhaustive paper list for Text Summarization, covering papers from eight top conferences (ACL / EMNLP / NAACL / ICML / ICLR / AAAI / IJCAI / NIPS) and eight years (2013-2020).

• Find the top-cited summarization-papers! [The latest update on: 02.25/2020]
• Track the latest summarization-papers!
• Find the milestone summarization-papers for newbies
• Searching papers by research concepts or your interested keywords

We define the typology of essential concepts that you should know for the summarization task.

denotes the number of papers before 2019

denotes the number of papers from 2019

Concepts in red suggest HOT topics, and we can observe:

• Task: Scientific paper-based summarization has gain growing interests.
• Data: More new datasets are constructed
• Architecture: Pretrained models and graph neural networks prevail
• Evaluation: Evaluation of the generated summary's factuality attracts recent attention

• pre-X: summarizer with unsupervised pretrained models
• task-sci: scientifc paper-based summarization
• eval-factuality: factuality evaluation on generated summaries.
• arch-gnn: graph neural network-based summarizers.
• data-new: more new datasets are constructed

• 10 must-read papers for neural extractive summarization
• 10 must-read papers for neural abstractive summarization
• Top 10 most-cited summarization papers from 2014

• If you have a new "research concept"? -- Tell us

  • Update the file summ_concept.md and Pull requests
  • Or you could directly propose an Issues

• If you have a new "paper" or more reasonable annotations?

  • Add your paper (If possible, with annotated concepts) into paper_with_concept and Pull requests
  • Or you could directly propose an Issues

• If you have a new "dataset"?

  • Add your dataset (If possible, with brief description) into paper_with_dataset and Pull requests
  • Or you could directly propose an Issues

• Concepts in Neural Networks for NLP
• Named Entity Recognition Paper List
• Historiograpy of Text Summarization

Hopefully, you will see our version-2.0 covering papers from 1980 to 2020.

• Thanks Graham Neubig's idea on the "concept" and other comments.