| Year | Conf. | Concept | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ICML | pre-unilm | 35 | Unified Language Model Pre-training for Natural Language Understanding and Generation | Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon | https://arxiv.org/pdf/1905.03197.pdf |
| 2019 | Arxiv | pre-gpt | 6 | Sample Efficient Text Summarization Using a Single Pre-Trained Transformer | https://arxiv.org/pdf/1905.08836.pdf | Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser |
| 2019 | Arxiv | pre-bart | 5 | BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension | Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, Luke Zettlemoyer | https://arxiv.org/pdf/1910.13461.pdf |
| 2019 | ICML | pre-mass | 56 | MASS: Masked Sequence to Sequence Pre-training for Language Generation | Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu | https://arxiv.org/pdf/1905.02450.pdf |
| 2019 | Arxiv | pre-pegasus | 2 | PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization | Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu | https://arxiv.org/pdf/1912.08777.pdf |
| 2020 | AAAI | gen-ext | 1 | Controlling the Amount of Verbatim Copying in Abstractive Summarization | Kaiqiang Song,Bingqing Wang,Zhe Feng,Liu Ren,Fei Liu | https://arxiv.org/pdf/1911.10390.pdf |
| 2019 | ACL | sup-sup | 1 | Sentence Centrality Revisited for Unsupervised Summarization | Hao Zheng,Mirella Lapata | https://arxiv.org/pdf/1906.03508.pdf |
| 2019 | EMNLP | gen-sci | 14 | SciBERT: A Pretrained Language Model for Scientific Text | Iz Beltagy, Kyle Lo, Arman Cohan | https://arxiv.org/pdf/1903.10676.pdf |
| 2019 | ACL | arch-rnn | 8 | HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization | Xingxing Zhang,Furu Wei,Ming Zhou | https://arxiv.org/pdf/1905.06566.pdf |
| 2019 | EMNLP | gen-abs | 1 | An Entity-Driven Framework for Abstractive Summarization | Eva Sharma,Luyang Huang,Zhe Hu,Lu Wang | https://arxiv.org/pdf/1909.02059.pdf |
| 2019 | EMNLP | gen-abs | 0 | The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization | Simeng Sun,Ani Nenkova | https://pdfs.semanticscholar.org/584b/9e321c8f82fed514f70b10313b5fd971b277.pdf |
| 2019 | EMNLP | arch-cnn | 0 | Summary Level Training of Sentence Rewriting for Abstractive Summarization | Sanghwan Bae,Taeuk Kim,Jihoon Kim,Sang-goo Lee | https://arxiv.org/pdf/1909.08752.pdf |
| 2019 | EMNLP | pre-elmo | 0 | Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations | Sangwoo Cho,Chen Li,D. H. Yu,Hassan Foroosh,Fei Liu | https://arxiv.org/pdf/1910.11411.pdf |
| 2018 | AAAI | pre-bert | 42 | Generative Adversarial Network for Abstractive Text Summarization | Linqing Liu,Yao Lu,Min Yang,Qiang Qu,Jia Zhu,Hongyan Li | https://arxiv.org/pdf/1711.09357.pdf |
| 2019 | Arxiv | train-meta | 0 | Exploring Domain Shift in Extractive Text Summarization | Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang | https://arxiv.org/pdf/1908.11664.pdf |
| 2019 | ACL | gen-ext | 4 | Searching for Effective Neural Extractive Summarization: What Works and What's Next | Ming Zhong,Pengfei Liu,Danqing Wang,Xipeng Qiu,Xuanjing Huang | https://arxiv.org/pdf/1907.03491.pdf |
| 2019 | EMNLP | gen-ext, gen-abs, gen-2stage, arch-transformer | 12 | Text Summarization with Pretrained Encoders | Yang Liu,Mirella Lapata | https://arxiv.org/pdf/1908.08345.pdf |