Evaluation of automatic generation of basic stories

Peinado, Federico Lara; Gervás, Pablo

doi:10.1007/bf03037336

Cited by 39 publications

(19 citation statements)

References 6 publications

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“…For instance, in a study on morphology of the folktale [25], Propp showed that there are some thirty-one functions that encompass all of the plot components from which fairy tales were constructed. These thirty-one functions have become the foundation of several story generation systems including MIN-STREL [34], MEXICA [35], BRUTUS [4], STORYBOOK [5], and KIIDS [22]. In those systems, case-based reasoning is used as a prime reasoning tool for matching user requests with existing templates in the story databases.…”

Section: Related Workmentioning

confidence: 99%

Evolving stories: Grammar evolution for automatic plot generation

Bui

Abbbass

Bender

2010

IEEE Congress on Evolutionary Computation

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In this paper, we propose a computational framework for automated story-based scenario generation. Under this framework, a regular grammar is developed to model various causal relationships inside a given story world. The grammar is then evolved using evolutionary computation techniques to generate novel story plots, i.e. story-based scenarios. To evaluate these newly generated scenarios, a human-in-the-loop model is used. An experimental study was carried out, in which the proposed framework was used to create novel plots based on the famous Little Red Riding Hood fairy tale. The experimental study demonstrated that evolutionary computation can potentially contribute significantly to story generations. Some challenges were identified including the difficulty to quantify such subjective measures as plot interestingness and creativity.

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Section: Related Workmentioning

confidence: 99%

Evolving stories: Grammar evolution for automatic plot generation

Bui

Abbbass

Bender

2010

IEEE Congress on Evolutionary Computation

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“…: how to create something new and useful at the same time [12]. But the introduction of semantic reasoning can improve the performance of computational creativity.…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach for Intelligent Reasoning of Stories using Ontology

Jaya¹,

Uma²

2010

IJCA

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Stories are really an interesting one to read, especially kids love to listen to stories. It grabs the reader's attention and gives them great pleasure or excitement or thrill or suspense while reading it. Readers go along with stories and may have the expectation and predict the flow of story based on the previous situations narrated by the authors. Predicting the flow of story requires reasoning capacity to analyze the same. Human beings can easily reason the story based on their cognitive process whereas reasoning the stories by the system is not as easy and it requires a lot of intelligence to perform the same. This paper concentrates on to provide an environment for analyzing the stories on the basis of characters, events and the situations. It aims for reasoning the stories sentence by sentence based on the real world description using ontology. Ontology helps to investigate the stories by extracting the characters and events from the given story and provides the semantic relation among them. Ontology is formal explicit shared conceptualization. Ontology provides the domain knowledge which can be utilized for reasoning the stories semantically. Reasoning the stories based on the characters acts as a lead for the construction of the new different variety of stories with change in the characters, their nature and the events.

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“…[33], [3], [5], [26]). Therefore, we neither refer to models of narrative theory, such as Propp's, nor to generative models of interactive storytelling (such as, for example, [25]). We aim to test the expressive qualities of an existing ontology of drama, Drammar [20].…”

Section: Introductionmentioning

confidence: 99%

Bringing Authoritative Models to Computational Drama (Encoding Knebel’s Action Analysis)

Albert

Pizzo

Lombardo

et al. 2016

Interactive Storytelling

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Abstract. Maria Knebel is one of the most influential scholars in the field of Drama Analysis. Her work with Stanislavsky has been foundational in the history of theatre: she devised the method of Action Analysis to read the play as a score of actions to be executed by the actors. This paper aims at encoding Knebel's principles in a formal representation using a computational ontology (Drammar) to prove its expressiveness and to test its e cacy in a production point of view. As an example we use Knebel's analysis of Pogodin's Kremlin Chimes.

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Evaluation of automatic generation of basic stories

Cited by 39 publications

References 6 publications

Evolving stories: Grammar evolution for automatic plot generation

Evolving stories: Grammar evolution for automatic plot generation

A Novel Approach for Intelligent Reasoning of Stories using Ontology

Bringing Authoritative Models to Computational Drama (Encoding Knebel’s Action Analysis)

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