Generating survey draft based on closeness of position distributions of key words

Author:

Sun Xiaoping,Zhuge Hai

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference48 articles.

1. Abu-Jbara, A., & Radev, D. (2011). Coherent citation-based summarization of scientific papers. In Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies-volume 1, pp. 500-509.

2. Amini, M., & Usunier, N. (2007). A contextual query expansion approach by term clustering for robust text summarization. In Proceedings of DUC 2007, pp. 7.

3. Banerjee, S., Mitra, P., & Sugiyama, K. (2015). Multi-document abstractive summarization using ilp based multi-sentence compression. In Proceedings of the 24th International Conference on Artificial Intelligence, pp. 1208–1214.

4. Beltagy, I., Lo, K., & Cohan, A. (2019). Scibert: A pretrained language model for scientific text. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 3615-3620.

5. Bista, U., Mathews, A., Shin, M., Menon, A. K., & Xie, L. (2019). Comparative document summarisation via classification. In Proceedings of the thirty-third AAAI conference on artificial intelligence and thirty-first innovative applications of artificial intelligence conference and ninth AAAI symposium on educational advances in artificial intelligence, pp. 20-28.

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