Interactive Narrative Generation Using Location and Genre Specific Context

Womack, Jon; Freeman, William T.

doi:10.1007/978-3-030-33894-7_35

Cited by 2 publications

(2 citation statements)

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“…For example, if at some point a protagonist opens a window to air the room and the antagonist enters the building through this open window later as the story unfolds, such 'window' could be regarded as a perfect example of Chekhov's Gun. Although there are several recent results in the areas of suspense generation Doust and Piwek (2017), narrative personalization Wang et al (2017), and generation of short context-based narratives Womack and Freeman (2019), generating long stories is still a challenge van Stegeren and Theune (2019). We believe that CGR could provide deep insights into further computational research of narrative structure and is a vital component for the generation of longer entertaining stories.…”

Section: Cgr Taskmentioning

confidence: 98%

Actionable Entities Recognition Benchmark for Interactive Fiction

Tikhonov¹,

P.²

2021

Preprint

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Chekhov's gun is a dramatic principle stating that every element in a story must be necessary, and irrelevant elements should be removed. This paper presents a new natural language processing task -Chekhov's gun recognition or (CGR)recognition of entities that are pivotal for the development of the plot. Though similar to classical Named Entity Recognition (NER) it has profound differences and is crucial for the tasks of narrative processing, since Chekhov's guns have a profound impact on the causal relationship in a story. The paper presents a new benchmark dataset for the CGR task that includes 5550 descriptions with one or more Chekhov's Gun in each and validates the task on two more datasets available in the natural language processing (NLP) literature."One must never place a loaded rifle on the stage if it isn't going to go off. It's wrong to make promises you don't mean to keep." Chekhov in his letter to Lazarev.Preprint. Under review.

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Section: Cgr Taskmentioning

confidence: 98%

Actionable Entities Recognition Benchmark for Interactive Fiction

Tikhonov¹,

P.²

2021

Preprint

View full text Add to dashboard Cite

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“…It learns a graph of key plot elements and temporal relations between them based on stories written by crowd sourcing the task of writing short stories (Li et al 2012). Womack and Freeman (2019) propose a method of creating interactive narratives revolving around locations, wherein sentences are mapped to a real-world GPS location from a corpus of sentences belonging to a certain genre. In contrast to these models, our method generates a parserbased interactive fiction in which the player types in a textual command, allowing for greater expressiveness.…”

Section: Related Workmentioning

confidence: 99%

Bringing Stories Alive: Generating Interactive Fiction Worlds

Ammanabrolu

Cheung

et al. 2020

AIIDE

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Interactive fictions—also called text-based games—are games in which a player interacts with a virtual world purely through textual natural language. In this work, we focus on procedurally generating interactive fiction worlds. Generating these worlds requires (a) referencing everyday and thematic commonsense priors in addition to (b) being semantically consistent, (c) interesting, (d) coherent throughout, all while (e) producing fluent natural language descriptions of places, people, and things. Using existing story plots from books as inspiration, we present a method that first extracts a partial knowledge graph encoding basic information regarding world structure such as locations and objects. This knowledge graph is then automatically completed utilizing thematic knowledge and used to guide a neural language generation model that fleshes out the rest of the world. We evaluate generated worlds with human-participant studies, comparing our technique against rule-based and human-made baselines

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Interactive Narrative Generation Using Location and Genre Specific Context

Cited by 2 publications

References 13 publications

Actionable Entities Recognition Benchmark for Interactive Fiction

Actionable Entities Recognition Benchmark for Interactive Fiction

Bringing Stories Alive: Generating Interactive Fiction Worlds

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