A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task

By Qian Li, Ziwei Li, Jinmao Wei, Yanhui Gu, Adam Jatowt, Zhenglu Yang. 2018

23 citations recorded by the source corpus.

Subfields: Natural Language Processing

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In Natural Language Processing

1. Xiao Ding
2. Zhongyang Li
3. Ting-Wei Liu
4. Benjamin Van Durme
5. Zhuosheng Zhang

Citations in the corpus

• Story Ending Prediction by Transferable BERT (2019, methodology): “SeqMANN [Li et al. , 2018a] integrated external knowledge into a multi-attention network.”
• Story Ending Selection by Finding Hints From Pairwise Candidate Endings (2019, unknown): “Recent state-of-the-art methods, including SeqMANN [28], FTLM (also known as OpenAI GPT) [29], and Commonsense-Model [30], showed that training on very large data can make remarkable improvements for Story Cloze Test.”