
Semantic Parsing of Action Text for Text-to-Scene Conversion
Author(s) -
Fang Yang,
Linna Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012167
Subject(s) - computer science , parsing , natural language processing , action (physics) , artificial intelligence , information retrieval , quantum mechanics , physics
Understanding the action text is the main problem of dynamic scene generation in text-to-scene conversion. However, the existing basic research about it is still lacking, and its semantic parsing method is not perfect. Therefore, based on the idea of action chain structure, the formal expression of it is established on the basis of defining action text, classifying action text and analysing the features of action text. The method of action text semantic parsing is proposed combing with the action text semantic dictionary. The experimental results show that the method completes the semantic parsing for the action text to a certain extent and provides a reference for computer to understand the semantic of action text.