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SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez notre Politique de confidentialité et nos Conditions d’utilisation pour en savoir plus.
Stories move us emotionally by physically moving their protagonists, from place to place or from state to state. The most psychologically compelling stories are stories of change, in which characters learn and evolve as they fulfil their dreams or become what they most despise. Character-driven stories must do more than maneouver their protagonists as game pieces on a board, but move them along arcs that transform their inner qualities. This presentation describes the Flux Capacitor, a generator of transformative character arcs that are both intuitive and dramatically interesting. These arcs – which define a conceptual start-point and end-point for a character in a narrative – may be translated into short story pitches or used as inputs to an existing story-generator. A corpus-based means of constructing novel arcs is presented, as are criteria for selecting and filtering arcs for well-formedness, plausibility and interestingness. Characters can thus, in this way, be computationally modeled as dynamic blends that unfold along a narrative trajectory.
Breaking Bad and Coming Good: Computer-Generated Stories of Change
Tony Veale, Afflatus.UCD.ie
Metaphor Blending and Change
* see also EC coordination action: PROSECCO: PROmoting the Scientific Exploration of Computational Creativity
This work forms part of the WHIM project.
I’ve only been
a bug since
… and I’m
already very annoying!
“As Gregor Samsa awoke one morning from uneasy dreams, he found himself transformed in his bed into a monstrous vermin.”
So starts Franz Kafka’s novella of transformation, titled Metamorphosis, in which the author explores issues of otherness and guilt by exploiting a character’s horrific (if unexplained) change into an insect.
I used to be a “people person”…
… now I am just
an animal lover!
Authors from Ovid to Kafka show the value of transformation
– physical, spiritual and metaphorical – as a tool of character development. Metaphorical contrasts become literal changes!
Change happens in stories – good stories at least – for a reason. It is typically an external expression of an internal conflict.
From caring husband & teacher to ruthless drug-baron: Walter White is an unknowable unstable blend of categories
how people & things change over time, we need a rich property-level & behaviour-level model of world
For we want to
deconstruct & pull our concepts apart, to reassemble them in new ways that create interesting contrasts.
Linguistic constructs like the simile frame
“as ADJ as a NOUN”
allow us to harvest knowledge of stereo- typical properties from the Web.
These are from the Google n-grams.
We can use
metaphors to understand how properties align and change, so that one concept can virtually become
Creative metaphors are commodities that computers can generate at Web Scale via
Metaphor Magnet suggests metaphors on demand for given topics or topic pairs.
It finds conventional metaphors in large Web corpora and elaborates them via rich stereotypes.
Metaphor Magnet will even generate poems (ahem) for your metaphors on demand.
Metaphor Magnet uses Web n- grams to appreciate which concepts are best imagined as the start state of a transformation, and which are better suited to being the end state. The goal is to produce character arcs that are jarring for the right reasons!
If we take @MetaphorMagnet’s metaphors seriously, as literal statements of becoming, we obtain What-If scenarios in which our story characters undergo surprising but apt changes.
dashingdrab happymiserable richpoor richskint ostentatiousunpretentious pamperedpoor privilegeddestitute privilegedpoor richbroke richdesperate richdestitute richmiserable spoiledpoor wealthybroke wealthydestitute wealthypoor
So what if a millionaire …
… became a pauper?
A Lexical Database of Antonyms (e.g. WordNet) allows us to align the contrasting properties of two stereotypical representations.
Millionaire maddened by mansions, walks into workhouses
Millionaire rejects richness, hungers for hopelessness
Millionaire goes from being apparently dashing to increasingly drab
Millionaire's fake happiness masked true hardship
Millionaire goes from living in mansions
to living in shacks and slums
Millionaire goes from living in ornate and luxurious mansions
to living in wretched and Spartan slums
Millionaire goes from living in magnificent and swanky mansions
to living in miserable and wretched slums
Millionaire goes from ostentatious to unpretentious
Millionaire's private pampering masked by outer poverty
Millionaire's artificial privilege masked genuine deprivation
Millionaire's public wealth masked pervasive poverty
Millionaire's false wealth masked genuine deprivation
“Story pitch” Summarization via Automated Headlines
A twitterbot using the Metaphor Magnet Web-service to tweet a new hard- boiled metaphor every hour!
A chain of causal triples can yield an interesting scenario when it shows how a familiar concept has quite unexpected consequences.
Causal chaining allows @MetaphorMagnet to blend the norms of two concepts with differing affect profiles to achieve a surprising what-if whole. Consider Artists: (I used to be an artist!)
By chaining KB triples together, a machine can observe that artists typically cause a positive effect on the arts. Seeing that critics can have a negative effect on arts, and dictators have a negative effect on their critics …
… @MetaphorMagnet reasons that dictators can have the same positive effect on the arts as artists! This is sophistry as ‘critic’ is used in two differing senses, but in this what-if blend, Artists become like Dictators!
When two concepts cause the same effects (after a little sophistry), we can easily imagine a story in which one becomes the other, deliberately or unintentionally, with dramatic consequences.
the smell of narrative in
We are currently evaluating the packaging of ideas in @MetaphorMagnet using Crowd-sourcing (against a non- creative baseline @MetaphorMinute).