Pipeline for Training AI on Structured Stories Using MTL

To enable AI to understand, modify, and generate logically structured stories, we need a training pipeline that converts human-written narratives into Machine Thought Language (MTL). This document outlines a structured pipeline for processing, learning, and generating stories in MTL, ensuring AI can reason about narrative elements beyond simple text prediction.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-23
DOI
https://doi.org/10.5281/zenodo.15072753
Primary Topic
Pharmacological Effects of Medicinal Plants
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pipeline for Training AI on Structured Stories Using MTL

Zenodo (CERN European Organization for Nuclear Research)
Pharmacological Effects of Medicinal Plants
article

Pipeline for Training AI on Structured Stories Using MTL

article en

Abstract

To enable AI to understand, modify, and generate logically structured stories, we need a training pipeline that converts human-written narratives into Machine Thought Language (MTL). This document outlines a structured pipeline for processing, learning, and generating stories in MTL, ensuring AI can reason about narrative elements beyond simple text prediction.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 46%
Pharmacological Effects of Medicinal Plants
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Pipeline for Training AI on Structured Stories Using MTL · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS