1 |
R. Nallapati, et al., Abstractive textsummarization using sequence-to-sequence rnns and beyond. arXiv preprintarXiv: 1602.06023, 2016.
|
2 |
R. Nallapati, F. Zhai, and B. Zhou, "Summarunner: A recurrent neural network based sequence model for extractive summarization ofdocuments," in Thirty-First AAAI Conference on Artificial Intelligence, 2017.
|
3 |
A. Jadhav and V. Rajan, "Extractive Summarizationwith SWAP-NET: Sentences and Words from Alternating Pointer Networks," in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.
|
4 |
A. Nenkova, and L. Vanderwende, "The impact offrequency on summarization," Microsoft Research, Redmond, Washington, Tech. Rep.MSR-TR-2005, 2005. 101.
|
5 |
E. Filatova and V. Hatzivassiloglou, "Event-based extractive summarization," 2004.
|
6 |
G. Erkan, and D. R. Radev, "Lexrank: Graph-basedlexical centrality as salience in text summarization," Journal of Artificial Intelligence Research, Vol.22, pp.457-479, 2004.
DOI
|
7 |
D. R. Radev, et al., "Centroid-based summarizationof multiple documents," Information Processing & Management, Vol.40, No.6, pp.919-938, 2004.
DOI
|
8 |
R. McDonald, "A study of global inferencealgorithms in multi-document summarization," in European Conference onInformation Retrieval, 2007. Springer.
|
9 |
D. Shen, et al., "Document summarization usingconditional random fields," IJCAI, Vol.7, pp.2862-2867, 2007.
|
10 |
H. P. Edmundson, "New methods in automaticextracting," Journal of the ACM (JACM), Vol.16, No.2, pp.264-285, 1969.
DOI
|
11 |
I. Sutskever, O. Vinyals, and Q. V. Le, "Sequence to sequence learning with neural networks," in Advances in Neural Information Processing Systems, 2014.
|
12 |
J. Cheng and M. Lapata, "Neural summarization byextracting sentences and words," arXiv preprint arXiv:1603.07252, 2016.
|
13 |
K. Cho, et al., "Learning phrase representationsusing RNN encoder-decoder for statistical machine translation," arXiv preprintarXiv:1406.1078, 2014.
|
14 |
Y. Bengio, et al., "A neural probabilisticlanguage model," Journal of Machine Learning Research, Vol.3(Feb), pp.1137-1155, 2003.
|
15 |
T. Mikolov, et al., "Efficient estimation of wordrepresentations in vector space," arXiv preprint arXiv:1301.3781, 2013.
|
16 |
S. Menaka and N. Radha, "Text classificationusing keyword extraction technique," International Journal of Advanced Researchin Computer Science and Software Engineering, Vol.3, No.12, 2013.
|
17 |
A. Hulth, "Improved automatic keyword extractiongiven more linguistic knowledge," in Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, 2003. Association for Computational Linguistics.
|
18 |
M. Wu, et al., "Event-based summarization usingtime features," in International Conference on Intelligent Text Processing and Computational Linguistics, 2007. Springer.
|
19 |
W. Li, et al., "Extractive summarization usinginter-and intra-event relevance," in Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of theAssociation for Computational Linguistics, 2006. Association for Computational Linguistics.
|
20 |
K. M. Hermann, et al., "Teaching machines to readand comprehend," in Advances in Neural Information Processing Systems, 2015.
|
21 |
C. Manning, et al., "The Stanford CoreNLP naturallanguage processing toolkit," in Proceedings of 52nd annual meeting of theassociation for computational linguistics: system demonstrations, 2014.
|
22 |
D. P. Kingma and J. Ba, "Adam: A method forstochastic optimization," arXiv preprint arXiv:1412.6980, 2014.
|
23 |
C.-Y. Lin, "Rouge: A package for automaticevaluation of summaries," Text Summarization Branches Out, pp.74-81, 2004.
|