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Story Ending Generation with Incremental Encoding and Commonsense Knowledge

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Figure

Figure 1: A story example. Words in blue/purple are eventsand entities. The bottom-left graph is retrieved from Con-ceptNet and the bottom-right graph represents how eventsand entities form the context clue.
Figure 2: Model overview. The model is equipped with incremental encoding (IE) and multi-source attention (MSA)
Table 1: Automatic and manual evaluation results.
Figure 3: An example illustrating how incremental encodingbuilds connections between context clues.

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