02/02/2021

Automated Storytelling via Causal, Commonsense Plot Ordering

Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl

Keywords:

Abstract Paper Similar Papers

Abstract: Automated story plot generation is the task of generating a coherent sequence of plot events. Causal relations between plot events are believed to increase the perception of story and plot coherence. In this work, we introduce the concept of soft causal relations as causal relations inferred from commonsense reasoning. We demonstrate C2PO, an approach to narrative generation that operationalizes this concept through Causal, Commonsense Plot Ordering. Using human-participant protocols, we evaluate our system against baseline systems with different commonsense reasoning reasoning and inductive biases to determine the role of soft causal relations in perceived story quality. Through these studies we also probe the interplay of how changes in commonsense norms across storytelling genres affect perceptions of story quality.

The video of this talk cannot be embedded. You can watch it here:
https://slideslive.com/38948663
(Link will open in new window)
 0
 0
 0
 0
  Share    
This is an embedded video. Talk and the respective paper are published at AAAI 2021 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers

 0
 0
 0
 0
 15:34 
 0
 0
 0
 0
 13:55 
 0
 0
 0
 0
 7:32 
 0
 0
 0
 0
 13:29 
 0
 0
 0
 0
 16:59 
 0
 0
 0
 0
 11:34 
 0
 1
 0
 0
 14:08 
 0
 1
 0
 0
 12:16 
 0
 0
 0
 0
 12:17 
 0
 0
 0
 0
 11:40 
 0
 0
 0
 0
 12:00 
 0
 0
 0
 0
 6:50 
 0
 0
 0
 0
 10:15 
 0
 0
 0
 0
 8:04 
 0
 0
 0
 0
 11:52 
 0
 0
 0
 0
 5:21 
 0
 0
 0
 0
 4:20 
 0
 0
 0
 0
 13:02 
 0
 0
 0
 0
 17:44 
 0
 0
 0
 0
 20:36 
 0
 0
 0
 0
 3:23 
 0
 0
 0
 0
 10:07 
 0
 0
 0
 0
 17:34 
 0
 0
 0
 0
 5:44 
 0
 0
 0
 0
 15:08 
 0
 0
 0
 0
 6:09 
 0
 0
 0
 0
 10:15 
 0
 0
 0
 0
 8:14 
 0
 0
 0
 0
 10:06 
 0
 0
 0
 0
 12:57 
 0
 0
 0
 0
 16:26 
 0
 0
 0
 0
 14:35 
 0
 0
 0
 0
 14:56 
 0
 0
 0
 0
 11:46 
 0
 0
 0
 0
 13:00 
 0
 0
 0
 1
 11:06 
 0
 0
 0
 0
 12:17 
 0
 0
 0
 0
 11:52 
 0
 0
 0
 0
 9:18 
 0
 0
 0
 0
 13:13