Fetching the paper…
Reading the bibliography…
Automatic text summarization, the automated process of shortening a text while reserving the main ideas of the document(s), is a critical research area in natural language processing.
The automatic creation of literature abstracts
Luhn, H. P. (1958) · 1958
Earlier work this paper cites.
An overview of the frump system
DeJong, G. F. (1982) · 1982
Earlier work this paper cites.
Building applied natural language generation systems
Reiter, E. and Dale, R. (1997) · 1997
Earlier work this paper cites.
Generating natural language summaries from multiple on-line sources
Radev, D. R. and McKeown, K. R. (1998) · 1998
Earlier work this paper cites.
Automatic summarizing: factors and directions
Jones, K. S. et al. (1999) · 1999
Earlier work this paper cites.
Text summarization via hidden markov models
Conroy, J. M. and O’leary, D. P. (2001) · 2001
Earlier work this paper cites.
Generic text summarization using relevance measure and latent semantic analysis
Gong, Y. and Liu, X. (2001) · 2001
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Lin, C.-Y. (2004) · 2004
Earlier work this paper cites.
Textrank: Bringing order into text
Mihalcea, R. and Tarau, P. (2004) · 2004
Earlier work this paper cites.
Evaluating content selection in summarization: The pyramid method
Nenkova, A. and Passonneau, R. J. (2004) · 2004
Earlier work this paper cites.
Pyteaser
Xu, X. (2004) · 2004
Cited alongside, same era.
Summarization from medical documents: a survey
Afantenos, S., Karkaletsis, V., and Stamatopoulos, P. (2005) · 2005
Cited alongside, same era.
A survey on automatic text summarization
Das, D. and Martins, A. F. (2007) · 2007
Cited alongside, same era.
Extractive summarization using supervised and semi-supervised learning
Wong, K.-F., Wu, M., and Li, W. (2008) · 2008
Cited alongside, same era.
Automatic summarization
Nenkova, A., McKeown, K., et al. (2011) · 2011
Cited alongside, same era.
Extractive summarization using continuous vector space models
Kågebäck, M., Mogren, O., Tahmasebi, N., and Dubhashi, D. (2014) · 2014
Cited alongside, same era.
Neural summarization by extracting sentences and words
Cheng, J. and Lapata, M. (2016) · 2016
Later among the works it cites.
Abstractive sentence summarization with attentive recurrent neural networks
Chopra, S., Auli, M., and Rush, A. M. (2016) · 2016
Later among the works it cites.
Abstractive text summarization using sequence-to-sequence RNNs and beyond
Nallapati, R., Zhou, B., dos Santos, C. N., Gülçehre, Ç., and Xiang, B. (2016) · 2016
Later among the works it cites.
An actor-critic algorithm for sequence prediction
Bahdanau, D., Brakel, P., Xu, K., Goyal, A., Lowe, R., Pineau, J., Courville, A., and Bengio, Y. (2017) · 2017
Later among the works it cites.
Recent automatic text summarization techniques: a survey
Gambhir, M. and Gupta, V. (2017) · 2017
Later among the works it cites.
SummaRuNNer: A recurrent neural network based sequence model for extractive summarization of documents
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cao, Z., Wei, F., Li, S., Li, W., Zhou, M., and Wang, H. (2015) · 2015
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
Rush, A. M., Chopra, S., and Weston, J. (2015) · 2015
Cited alongside, same era.
Problems in current text simplification research: New data can help
Xu, W., Callison-Burch, C., and Napoles, C. (2015) · 2015
Cited alongside, same era.
Optimizing sentence modeling and selection for document summarization
Yin, W. and Pei, Y. (2015) · 2015
Cited alongside, same era.
Nallapati, R., Zhai, F., and Zhou, B. (2017) · 2017
Later among the works it cites.
A deep reinforced model for abstractive summarization
Paulus, R., Xiong, C., and Socher, R. (2017) · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
See, A., Liu, P. J., and Manning, C. D. (2017) · 2017
Later among the works it cites.
Sentence simplification with deep reinforcement learning
Zhang, X. and Lapata, M. (2017) · 2017
Later among the works it cites.