Abstractive-based Text Summarization Algorithm
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An Abstractive-based Text Summarization Algorithm is a text summarization algorithm that can significantly transform the underlying text.
- Context:
- It can be implemented by an Abstractive Summarization System to solve an abstractive summarization task.
- It can range from being a Single-Document Abstractive Summarization Algorithm to being a Multi-Document Abstractive Summarization Algorithm.
- It can range from being a General Abstractive Summarization Algorithm to being a Topic-focused Abstractive Summarization Algorithm.
- …
- Counter-Example(s):
- See: MEAD Algorithm.
References
2018a
- (Paulus et al., 2017) ⇒ Romain Paulus, Caiming Xiong, and Richard Socher. (2017). “A Deep Reinforced Model for Abstractive Summarization.” In: Proceedings of ICLR 2018 Conference (ICLR 2018).
2018b
- (Liu et al., 2018) ⇒ Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer. (2018). “Generating Wikipedia by Summarizing Long Sequences.” In: Proceedings of the Sixth International Conference on Learning Representations (ICLR-2018).
- QUOTE: We show that generating English Wikipedia articles can be approached as a multi-document summarization of source documents. We use extractive summarization to coarsely identify salient information and a neural abstractive model to generate the article. …
2017
- (See et al., 2017) ⇒ Abigail See, Peter J. Liu, and Christopher D. Manning. (2017). “Get To The Point: Summarization with Pointer-Generator Networks.” In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). DOI:10.18653/v1/P17-1099.
- QUOTE: ... Neural sequence-to-sequence models have provided a viable new approach for abstractive text summarization (meaning they are not restricted to simply selecting and rearranging passages from the original text) …
2015
- (Rush et al., 2015) ⇒ Alexander M. Rush, Sumit Chopra, and Jason Weston. (2015). “A Neural Attention Model for Abstractive Sentence Summarization.” In: Proceedings of EMNLP-2015.
- QUOTE: Summarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build. In this work, we propose a fully data-driven approach to abstractive sentence summarization. …