An exhaustive paper list for Text Summarization, covering papers from eight top conferences (ACL / EMNLP / NAACL / ICML / ICLR / AAAI / IJCAI / NeurIPS) in the last eight years (2013-2020).
We first define the typology of essential concepts for the summarization task. We then plot the number of papers for each concept below.
denotes the number of papers before 2019.
denotes the number of papers since 2019.
Trends in 2019:
Concepts in red suggest HOT topics, and we can observe:
Hot topic: when the proportion of papers on a concept since 2019 is greater than a certain threshold (0.4), we define this concept as a hot topic.
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.
summ_concept.mdand send us a
summ_paper.crowdsourceand send us a
summ_data.crowdsourceand send us a
Hopefully, you will see our version-2.0 covering papers from 1980 to 2020.