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Automatic text summarization is generally considered as a challenging task in the NLP community.
C. Aone, M. E. Okurowski, and J. Gorlinsky, “Trainable, scalable summarization using robust NLP and machine learning,” in Proceedings of the 17th International Conference on Computational Linguistics-Volume 1 . Association for Computational Linguistics, 1998, pp. 62–66
1998
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D. R. Radev, H. Jing, and M. Budzikowska, “Centroid-based summarization of multiple documents: Sentence extraction, utility-based evaluation, and user studies,” in Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization . Association for Computational Linguistics, 2000, pp. 21–30
2000
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Y. Gong and X. Liu, “Generic text summarization using relevance measure and latent semantic analysis,” in Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM, 2001, pp. 19–25
2001
Earlier work this paper cites.
J. Conroy and D. O’Leary, “Text summarization via hidden Markov model and pivoted QR matrix decomposition,” 2001
2001
Earlier work this paper cites.
M. Osborne, “Using maximum entropy for sentence extraction,” in Proceedings of the Workshop on Automatic Summarization (Including DUC 2002) . Philadelphia: Association for Computational Linguistics, Jul. 2002
2002
Earlier work this paper cites.
F. Tala, J. Kamps, K. E. Müller, and R. de M, “The impact of stemming on information retrieval in Bahasa Indonesia,” Studia Logica - An International Journal for Symbolic Logic - SLOGICA , Jan. 2003
2003
Earlier work this paper cites.
C.-Y. Lin and E. Hovy, “Automatic evaluation of summaries using n-gram co-occurrence statistics,” in Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1 . Association for Computational Linguistics, 2003, pp. 71–78
2003
Earlier work this paper cites.
C.-Y. Lin, “Rouge: A package for automatic evaluation of summaries,” in Text Summarization Branches out: Proceedings of the ACL-04 Workshop , vol. 8. Barcelona, Spain, 2004
2004
Earlier work this paper cites.
J. Steinberger and K. Jezek, “Using latent semantic analysis in text summarization and summary evaluation,” in Proc. ISIM’04 , 2004, pp. 93–100
2004
Earlier work this paper cites.
G. Erkan and D. R. Radev, “Lexrank: Graph-based lexical centrality as salience in text summarization,” Journal of Artificial Intelligence Research , vol. 22, pp. 457–479, 2004
2004
Earlier work this paper cites.
R. Mihalcea and P. Tarau, “Textrank: Bringing order into text,” in Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004
2004
Earlier work this paper cites.
A. Nenkova and L. Vanderwende, “The impact of frequency on summarization,” Microsoft Research, Redmond, Washington, Tech. Rep. MSR-TR-2005 , vol. 101, 2005
2005
Cited alongside, same era.
D. Das and A. F. Martins, “A survey on automatic text summarization,” Literature Survey for the Language and Statistics II course at CMU , vol. 4, pp. 192–195, 2007
2007
Cited alongside, same era.
L. Vanderwende, H. Suzuki, C. Brockett, and A. Nenkova, “Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion,” Information Processing & Management , vol. 43, no. 6, pp. 1606–1618, 2007
2007
Cited alongside, same era.
S. Bird, E. Loper, and E. Klein, Natural Language Processing with Python . O’Reilly Media Inc., 2009
2009
Cited alongside, same era.
J. Cheng and M. Lapata, “Neural summarization by extracting sentences and words,” in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics . Berlin, Germany: Association for Computational Linguistics, Aug. 2016, pp. 484–494
2016
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2016
Later among the works it cites.
R. Nallapati, B. Zhou, C. dos Santos, C. Gulcehre, and B. Xiang, “Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond,” in Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning . Berlin, Germany: SIGNLL, 2016
2016
Later among the works it cites.
D. Gunawan, A. Pasaribu, R. F. Rahmat, and R. Budiarto, “Automatic Text Summarization for Indonesian Language Using TextTeaser,” IOP Conference Series: Materials Science and Engineering , vol. 190, no. 1, p. 012048, 2017
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2013
Cited alongside, same era.
Silvia, P. Rukmana, V. Aprilia, D. Suhartono, R. Wongso, and Meiliana, “Summarizing Text for Indonesian Language by Using Latent Dirichlet Allocation and Genetic Algorithm,” in Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2014) , Yogyakarta, Indonesia, 2014, p. 6
2014
Cited alongside, same era.
D. T. Massandy and M. L. Khodra, “Guided summarization for Indonesian news articles,” in 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) , Aug. 2014, pp. 140–145
2014
Cited alongside, same era.
A. Najibullah, “Indonesian Text Summarization based on Naïve Bayes Method,” in Proceeding of the International Seminar and Conference 2015: The Golden Triangle (Indonesia-India-Tiongkok) Interrelations in Religion, Science, Culture, and Economic , Semarang, Indonesia, 2015, p. 12
2015
Cited alongside, same era.
A. M. Rush, S. Chopra, and J. Weston, “A neural attention model for abstractive sentence summarization,” in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing . Lisbon, Portugal: Association for Computational Linguistics, 2015, pp. 379–389
2015
Cited alongside, same era.
F. Koto, “A Publicly Available Indonesian Corpora for Automatic Abstractive and Extractive Chat Summarization,” in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) . Portorož, Slovenia: European Language Resources Association (ELRA), 2016, p. 5
2016
Cited alongside, same era.
2017
Later among the works it cites.
R. Nallapati, F. Zhai, and B. Zhou, “SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents,” in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. , 2017, pp. 3075–3081
2017
Later among the works it cites.
S. Ruder and B. Plank, “Learning to select data for transfer learning with Bayesian Optimization,” in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . Copenhagen, Denmark: Association for Computational Linguistics, Jul. 2017, pp. 372–382
2017
Later among the works it cites.
2017
Later among the works it cites.
A. See, P. J. Liu, and C. D. Manning, “Get to the point: Summarization with pointer-generator networks,” in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Vancouver, Canada: Association for Computational Linguistics, 2017, pp. 1073–1083
2017
Later among the works it cites.
2017
Later among the works it cites.
C. Slamet, A. R. Atmadja, D. S. Maylawati, R. S. Lestari, W. Darmalaksana, and M. A. Ramdhani, “Automated Text Summarization for Indonesian Article Using Vector Space Model,” IOP Conference Series: Materials Science and Engineering , vol. 288, p. 012037, Jan. 2018
2018
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