Abstract Wikipedia,
Hello. I am recently thinking about the generation of natural-language stories from
Wikidata data, e.g., graphs of interrelated real-world historical events.
I am thinking about whether resultant machine-generated stories would be objectively or
subjectively narrated. These topics appear to pertain to the philosophy of history [1] and
neutrality [2], resembling encyclopedists' ideals of neutrality with respect to point
of view [3].
In my opinion, there would be much to learn from developing natural-language story
generating systems which could have parameters set or which could receive secondary input
data to subsequently produce subjective stories. With such systems, developers could
control and vary the subjectivities of resultant natural-language output, e.g., as
pertaining to sentiment.
What do you think about the idea that natural-language story generating systems could use
parameters or additional inputs to vary the subjectivities of the output?
Without a means of controlling and varying the subjectivities of output stories and
language, shouldn't one desire for the output to be as measurably objective as
possible?
What do you think about providing the capability for developers to be able to trace
backwards from natural-language outputs (from words, phrases, sentences, and paragraphs)
into source code and data? Developers would, then, be able to more readily version
software and data utilizing metrics and evaluation tools, e.g., Grammarly or sentiment
analysis. In theory, systems could provide accompanying “debugging data” alongside
natural-language outputs, this data including mappings from selections of natural
language, wikitext, or hypertext to stack traces or other data structures.
Best regards,
Adam Sobieski
[1]
https://en.wikipedia.org/wiki/Philosophy_of_history
[2]
https://en.wikipedia.org/wiki/Philosophy_of_history#Philosophy_of_neutrality
[3]
https://en.wikipedia.org/wiki/Wikipedia:Neutral_point_of_view