1 |
An, I. S., Kim, H. W., and Kim, H. J., "A User Timeline Summarization Technique using TextRank Algorithm", Journal of KISS: Databases, 2012. 8, pp. 238-245.
|
2 |
Chopra, S., Auli, M., and Rush, A. M., "Abstractive sentence summarization with attentive recurrent neural networks", Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, pp. 93-98.
|
3 |
Haveliwala, T. H., "Topic-sensitive pagerank", Proceedings of the 11th international conference on World Wide Web, ACM, 2002, pp. 517-526.
|
4 |
Jeong, S. W., Kim, J. T., and Kim, H. S., "Document Summarization Using TextRank Based on Sentence Embedding", Journal of KIISE, 2019. 3, pp. 285-289.
DOI
|
5 |
Lee, H. G., Lee, S. H., Kim, J. T., and Kim, H. S., "Generating End-to-End Document Title using Sequence to Sequence Model and Keyword", Korea Information Science Society, 2016. 12, pp. 452-454.
|
6 |
Mihalcea, R. and Tarau, P., "Textrank: Bringing order into text", Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, 2004, pp. 404-411.
|
7 |
Mikolov, T., Karafiat, M., Burget, L., Cernocky, J., and Khudanpur, S., "Recurrent neural network based language model", Eleventh Annual Conference of the International Speech Communication Association, 2010.
|
8 |
Paulus, R., Xiong, C., and Socher, R., "A deep reinforced model for abstractive summarization", arXiv preprint arXiv: 1705.04304, 2017.
|
9 |
Salton, G. and McGill, M. J., "Introduction to modern information retrieval", Mcgraw-Hill, 1983.
|
10 |
Rush, A. M., Chopra, S., and Weston, J., "A neural attention model for abstractive sentence summarization", arXiv preprint arXiv:1509.00685, 2015.
|
11 |
Shin, Y. M., Noh, Y. S., and Park, S. Y., "Abstractive Multi-Document Summarization via Self-Attention based Multi Document Encoder," The Korean Institute of Information Scientists and Engineers, 2019. 6, pp. 527-529.
|
12 |
Sundermeyer, M., Schlüter, R., and Ney, H., "LSTM neural networks for language modeling", Thirteenth Annual Conference of the International Speech Communication Association, 2012.
|
13 |
Sutskever, I., Vinyals, O., and Le, Q. V., "Sequence to sequence learning with neural networks", Advances in NIPS, 2014.
|
14 |
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Łukasz, K., and Polosukhin, I., "Attention is all you need", Advances in Neural Information Processing Systems, 2017, pp. 5998-6008.
|
15 |
Williams, R. J., "Simple statistical gradient- following algorithms for connectionist reinforcement learning", Machine Learning, Vol. 8, No. 3-4, 1992, pp. 229-256.
DOI
|
16 |
Williams, R. J. and Zipser, D., "A learning algorithm for continually running fully recurrent neural networks", Neural Computation, Vol. 1, No. 2, 1989, pp. 270-280.
DOI
|