For some insane reason, my team submitted 7 papers to the NAACL Workshop on Narrative Understanding.
Even more insane: all seven were accepted!
Even more insane: all seven were accepted!
1. Fabula Entropy Indexing: Objective Measures of Story Coherence
@lcastricato @spencerfrazier @JonathanBalloch
A new way to OBJECTIVELY measure the coherence of story generation systems. Grounded in narratology and validated in controlled studies
arxiv.org/abs/2104.07472
@lcastricato @spencerfrazier @JonathanBalloch
A new way to OBJECTIVELY measure the coherence of story generation systems. Grounded in narratology and validated in controlled studies
arxiv.org/abs/2104.07472
2. Towards a Formal Model of Narratives
@lcastricato @recardona @DavidThue
A narratological theory that makes narratives mathematical. This is what makes the above evaluation method work. In other words, a practical theory.
arxiv.org/abs/2104.07472
@lcastricato @recardona @DavidThue
A narratological theory that makes narratives mathematical. This is what makes the above evaluation method work. In other words, a practical theory.
arxiv.org/abs/2104.07472
3. Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes
@xxbidiao
It would be great to have topic and style knobs on story generators. Now they do.
arxiv.org/abs/2104.04039
@xxbidiao
It would be great to have topic and style knobs on story generators. Now they do.
arxiv.org/abs/2104.04039
4. Telling Stories through Multi-User Dialogue by Modeling Character Relations
@rajammanabrolu
Multi-task training for AI agents that can stay in character and perform 1st- and 2nd-person dialogue in D&D role-playing games
@rajammanabrolu
Multi-task training for AI agents that can stay in character and perform 1st- and 2nd-person dialogue in D&D role-playing games
5. Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
@beckypeng6 @sarahwiegreffe @Sylvia_Sparkle
Using commonsense reasoning to guide a neural story generator.
(We'll have more to say about the importance of _reader models_ later, stay tuned)
@beckypeng6 @sarahwiegreffe @Sylvia_Sparkle
Using commonsense reasoning to guide a neural story generator.
(We'll have more to say about the importance of _reader models_ later, stay tuned)
6. Tell Me A Story Like I’m Five: Story Generation via Question Answering
@lcastricato @spencerfrazier @JonathanBalloch
Neural networks are great language generators. But maybe we are using them wrong when generating stories?
@lcastricato @spencerfrazier @JonathanBalloch
Neural networks are great language generators. But maybe we are using them wrong when generating stories?
7. Automatic Story Generation: Challenges and Attempts
@The_Amool @beckypeng6 @Sylvia_Sparkle @sarahwiegreffe
A survey of the field of automated story generation and what challenges still lay ahead of us despite nearly 50 years of trying.
@The_Amool @beckypeng6 @Sylvia_Sparkle @sarahwiegreffe
A survey of the field of automated story generation and what challenges still lay ahead of us despite nearly 50 years of trying.
Here is the correct arxiv link for #2: arxiv.org/abs/2103.12872
My apologies to @BlancheMinerva who was also an author.
My apologies to @BlancheMinerva who was also an author.
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