Model-based Story Summary

@inproceedings{Winston2015ModelbasedSS,
  title={Model-based Story Summary},
  author={Patrick Henry Winston},
  booktitle={CMN},
  year={2015}
}
  • P. Winston
  • Published in CMN 1 May 2015
  • Art, Computer Science
A story summarizer benefits greatly from a reader model because a reader model enables the story summarizer to focus on delivering useful knowledge in minimal time with minimal eort. Such a 

Figures from this paper

Web-STAR: A Visual Web-based IDE for a Story Comprehension System

TLDR
The Web-STAR platform is presented, an online platform for story understanding built on top of the STAR reasoning engine for STory comprehension through ARgumentation that delivers a number of “social” features, including a community repository for public story sharing with a built-in commenting system.

Story-enabled hypothetical reasoning

TLDR
This work develops a story-enabled hypothetical reasoning system that models several high-level human abilities, including judging actions in terms of moral alternatives, contextualizing stories by considering what could have otherwise happened, and deliberating about personality to decide what characters will do next.

Symbolic Knowledge Structures and Intuitive Knowledge Structures

This paper proposes that two distinct types of structures are present in the brain: Symbolic Knowledge Structures (SKSs) , used for formal symbolic reasoning, and Intuitive Knowledge Structures

Web-STAR: Towards a Visual Web-Based IDE for a Story Comprehension System

In this work, we present Web-STAR, an online platform for story understanding built on top of the STAR (STory comprehension through ARgumentation) reasoning engine. This platform includes a web-based

References

SHOWING 1-10 OF 16 REFERENCES

Plot Units and Narrative Summarization

TLDR
A technique of memory representation based on plot units appears to provide a rich foundation for a high level analysis of the story that highlights its central concepts.

Story retrieval and comparison using concept patterns

TLDR
This research presents a novel approach to traditional story retrieval that uses keywords to determine similarity between stories that shed light on a new situation.

Syntactic and Semantic Decomposition Strategies for Question Answering from Multiple Resources *

This paper describes three language-motivated techniques for question answering from multiple resources. The techniques are situated within a QA architecture that combines language processing,

The Strong Story Hypothesis and the Directed Perception Hypothesis

  • P. Winston
  • Psychology
    AAAI Fall Symposium: Advances in Cognitive Systems
  • 2011
TLDR
The Strong Story Hypothesis, which holds that story telling and understanding have a central role in human intelligence, is introduced and the representations and methods embodied in the Genesis system are described, a story-understanding system that analyzes stories ranging.

Scripts, plans, goals and understanding: an inquiry into human knowledge structures

For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary

The Right Way

Intermediate Features and Informational-level Constraint on Analogical Retrieval

TLDR
The natural conjecture that experts are better than novices at retrieving useful analogical precedents within their domain of expertise is taken, with the caveat that this supposed difference may be upended by future sur- prising experimental results.

Structure mapping in analogy and similarity.

ions Keil, 1989 ; Rips, 1989) . For example, bats have the perceptual and behavioral characteristics of birds (they are similar to birds in this sense), but they are classified as mammals, because of

Human evolution and cognition

TLDR
The hominid fossil and archaeological records show clearly that biological and technological innovations have typically been highly sporadic, and totally out of phase, since the invention of stone tools some 2.5 million years ago; and their emergence ushered in an entirely new pattern of technological innovation.