Year |
Conf. |
Concept |
Cited |
Paper |
Authors |
Url |
2015 |
EMNLP |
gen-abs |
1288 |
A Neural Attention Model for Abstractive Sentence Summarization |
Alexander M. Rush,Sumit Chopra,Jason Weston |
https://arxiv.org/pdf/1509.00685.pdf |
2016 |
CoNLL |
gen-abs, data-new |
685 |
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond |
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu̇lçehre, Bing Xiang |
https://www.aclweb.org/anthology/K16-1028.pdf |
2017 |
ACL |
arch-rnn |
605 |
Get To The Point: Summarization with Pointer-Generator Networks |
Abigail See,Peter J. Liu,Christopher D. Manning |
https://arxiv.org/pdf/1704.04368.pdf |
2016 |
ACL |
arch-pointer |
571 |
Incorporating Copying Mechanism in Sequence-to-Sequence Learning |
Jiatao Gu, Zhengdong Lu, Hang Li, Victor O.K. Li |
https://arxiv.org/pdf/1603.06393.pdf |
2018 |
ICLR |
nondif-reinforce |
453 |
A Deep Reinforced Model for Abstractive Summarization |
Romain Paulus,Caiming Xiong,Richard Socher |
https://arxiv.org/pdf/1705.04304.pdf |
2016 |
NAA-CL |
gen-abs, arch-rnn, arch-cnn, arch-att |
400 |
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks |
Sumit Chopra,Michael Auli,Alexander M. Rush |
https://pdfs.semanticscholar.org/7a67/159fc7bc76d0b37930b55005a69b51241635.pdf |
2016 |
ACL |
task-singledDoc |
340 |
Neural Summarization by Extracting Sentences and Words |
Jianpeng Cheng,Mirella Lapata |
https://arxiv.org/pdf/1603.07252.pdf |
2017 |
AAAI |
arch-rnn |
315 |
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents |
Ramesh Nallapati,Feifei Zhai,Bowen Zhou |
https://arxiv.org/pdf/1611.04230.pdf |
2016 |
ACL |
arch-pointer |
285 |
Pointing the Unknown Words |
Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio |
https://arxiv.org/pdf/1603.08148.pdf |
2016 |
ACL |
arch-coverage |
362 |
Modeling Coverage for Neural Machine Translation |
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li |
https://arxiv.org/pdf/1601.04811.pdf |