Scene Theme Extraction Based on Scene Lexicon

DOI

10.2991/amcce-18.2018.33How to use a DOI?

Keywords

text-to-scene conversion, scene theme, extraction of scene theme, scene lexicon.

Abstract

With the advent of the era of big data, the computing efficiency of computers has become higher and higher, and the artificial intelligence technology has been booming. These technologies have continuously developed to provide technical support for the text-to-scene conversion and brought new challenges at the same time. In the text-to-scene conversion system, there is a problem about that a text-to-scene conversion system can generate rich and varied scenes if the text input is strictly limited; if the strict restrictions on input are eliminated, the system can convert a vary kinds of scene. Therefore, if we want to a text-to-scene system can generate rapidly all kinds of scene, regardless of the length and the writing format of the articles, we need to know what scene theme of this article is. When we know the scene theme of this article, we can get the essential information when scenes are creating, such as the common entities under this scene, the attributes of common entities and spatial relationships of common entities. This paper brings out a notion of scene theme and expatiates a method to extract the scene theme from the article.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Fuping Yang
AU  - Yuke Bai
PY  - 2018/05
DA  - 2018/05
TI  - Scene Theme Extraction Based on Scene Lexicon
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.33
DO  - 10.2991/amcce-18.2018.33
ID  - Yang2018/05
ER  -