Publisher
Springer Nature Switzerland
Reference25 articles.
1. Belwal, R.C., Rai, S., Gupta, A.: Text summarization using topic-based vector space model and semantic measure. Inf. Process. Manag. 58(3), 102536 (2021)
2. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)
3. Cui, P., Hu, L., Liu, Y.: Enhancing extractive text summarization with topic-aware graph neural networks. arXiv preprint arXiv:2010.06253 (2020)
4. Dieng, A.B., Ruiz, F.J., Blei, D.M.: Topic modeling in embedding spaces. Trans. Assoc. Comput. Linguist. 8, 439–453 (2020)
5. Erkan, G.: Using biased random walks for focused summarization (2006)