Neural Sequence-to-Sequence Modeling Algorithm
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A Neural Sequence-to-Sequence Modeling Algorithm is a sequence-to-sequence modeling algorithm that is a neural modeling algorithm.
- See: seq2seq Algorithm.
References
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).
- 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).