publication . Preprint . 2017

Faithful to the Original: Fact Aware Neural Abstractive Summarization

Cao, Ziqiang; Wei, Furu; Li, Wenjie; Li, Sujian;
Open Access English
  • Published: 13 Nov 2017
Abstract
Comment: 8 pages, 3 figures, AAAI 2018
Subjects
free text keywords: Computer Science - Information Retrieval, Computer Science - Computation and Language
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36 references, page 1 of 3

Angeli, G.; Premkumar, M. J.; and Manning, C. D. 2015.

Leveraging linguistic structure for open domain information extraction. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015).

Ayana, S. S.; Liu, Z.; and Sun, M. 2016. Neural headline generation with minimum risk training. arXiv preprint arXiv:1604.01904.

Bahdanau, D.; Cho, K.; and Bengio, Y. 2014. Neural machine translation by jointly learning to align and translate.

arXiv preprint arXiv:1409.0473.

Banko, M.; Cafarella, M. J.; Soderland, S.; Broadhead, M.; and Etzioni, O. 2007. Open information extraction from the web. In IJCAI, volume 7, 2670-2676.

Banko, M.; Mittal, V. O.; and Witbrock, M. J. 2000. Headline generation based on statistical translation. In Proceedings of the 38th Annual Meeting on Association for Computational Linguistics, 318-325. Association for Computational Linguistics.

Cao, Z.; Wei, F.; Dong, L.; Li, S.; and Zhou, M. 2015a.

2015b. Learning summary prior representation for extractive summarization. Proceedings of ACL: Short Papers 829-833.

Cao, Z.; Chu, W.; Li, W.; and Li, S. 2017. Joint copying and restricted generation for paraphrase. In Proceedings of AAAI 2017.

Cho, K.; Van Merrie¨nboer, B.; Gulcehre, C.; Bahdanau, D.; Bougares, F.; Schwenk, H.; and Bengio, Y. 2014. Learning phrase representations using rnn encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078.

Chopra, S.; Auli, M.; Rush, A. M.; and Harvard, S. 2016.

Abstractive sentence summarization with attentive recurrent neural networks. Proceedings of NAACL-HLT16 93-98.

De Marneffe, M.-C., and Manning, C. D. 2008. Stanford typed dependencies manual. Technical report, Technical report, Stanford University.

Gu, J.; Lu, Z.; Li, H.; and Li, V. O. 2016. Incorporating copying mechanism in sequence-to-sequence learning.

36 references, page 1 of 3
Abstract
Comment: 8 pages, 3 figures, AAAI 2018
Subjects
free text keywords: Computer Science - Information Retrieval, Computer Science - Computation and Language
Related Organizations
Download from
36 references, page 1 of 3

Angeli, G.; Premkumar, M. J.; and Manning, C. D. 2015.

Leveraging linguistic structure for open domain information extraction. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015).

Ayana, S. S.; Liu, Z.; and Sun, M. 2016. Neural headline generation with minimum risk training. arXiv preprint arXiv:1604.01904.

Bahdanau, D.; Cho, K.; and Bengio, Y. 2014. Neural machine translation by jointly learning to align and translate.

arXiv preprint arXiv:1409.0473.

Banko, M.; Cafarella, M. J.; Soderland, S.; Broadhead, M.; and Etzioni, O. 2007. Open information extraction from the web. In IJCAI, volume 7, 2670-2676.

Banko, M.; Mittal, V. O.; and Witbrock, M. J. 2000. Headline generation based on statistical translation. In Proceedings of the 38th Annual Meeting on Association for Computational Linguistics, 318-325. Association for Computational Linguistics.

Cao, Z.; Wei, F.; Dong, L.; Li, S.; and Zhou, M. 2015a.

2015b. Learning summary prior representation for extractive summarization. Proceedings of ACL: Short Papers 829-833.

Cao, Z.; Chu, W.; Li, W.; and Li, S. 2017. Joint copying and restricted generation for paraphrase. In Proceedings of AAAI 2017.

Cho, K.; Van Merrie¨nboer, B.; Gulcehre, C.; Bahdanau, D.; Bougares, F.; Schwenk, H.; and Bengio, Y. 2014. Learning phrase representations using rnn encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078.

Chopra, S.; Auli, M.; Rush, A. M.; and Harvard, S. 2016.

Abstractive sentence summarization with attentive recurrent neural networks. Proceedings of NAACL-HLT16 93-98.

De Marneffe, M.-C., and Manning, C. D. 2008. Stanford typed dependencies manual. Technical report, Technical report, Stanford University.

Gu, J.; Lu, Z.; Li, H.; and Li, V. O. 2016. Incorporating copying mechanism in sequence-to-sequence learning.

36 references, page 1 of 3
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