... two-step polishing transformer for video captioning. IEEE Trans. Circuits ... abstractive text summarization. Knowl.-Based Syst. 227, 107152 (2021) 50 ... stage transformer-based approach for variable-length abstractive summarization ...

... two-stage transformer-based approach for variable-length abstractive summarization,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2061–2072, 2020. [13] D. Patel, S. Shah, and H. Chhinkaniwala, “Fuzzy logic ...

... Transformer Pointer-Generated 35.7 23.4 33.1 38.5 23.7 34.7 ROUGH is an evaluation metric for abstractive summarization. ROUGE (RecallOriented Understudy Gisting Evaluation) is a recall-based ... two-stage transformer based approach for ...

... Based on the ... approach used to combine both supervised and unsupervised algorithms in a single framework and an interpretable approach is used for document summarization ... Two-Stage Transformer-based Approach for Variable-Length ...

... summarization based on bert. IEEE Trans Comput Soc Syst 9:879–890 2. . Xiong N, Guo Q, Huang J, Wang P (2019) Abstractive ... two-stage transformer-based approach for variable-length abstractive summarization. IEEE/ACM Trans Audio, Speech, ...

... Abstractive text summarization using BART . In : 2022 IEEE 2nd Mysore Sub ... based transfer learning approach for multi - dimensional essay scoring ... two - stage transformer - based approach for variable - length abstractive ...

... Summary level training of sentence rewriting for abstractive summarization. CoRR abs/1909.0875, pp. 1–11 (2019) 30. Zhang, H., Cai, J., Xu, J., Wang, J.: Pretraining-based natural language generation for text summarization. CoRR abs ...

... transformer. ArXiv abs/1910.10683 (2020) 22. Rush, A.M., Chopra, S., Weston ... two-stage transformer-based approach for variable-length abstractive summarization. IEEE/ACM Trans. on Audio, Speech ... Abstractive Text Summarization Model 223.

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP).

Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas.