Visualizing Natural Language Descriptions: A Survey

July 03, 2016 ยท The Cartographer ยท ๐Ÿ› ACM Computing Surveys

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Visualizing Natural Language Descriptions: A Survey"

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Authors Kaveh Hassani, Won-Sook Lee arXiv ID 1607.00623 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.CV, cs.GR, cs.HC Citations 24 Venue ACM Computing Surveys Last Checked 2 days ago
Abstract
A natural language interface exploits the conceptual simplicity and naturalness of the language to create a high-level user-friendly communication channel between humans and machines. One of the promising applications of such interfaces is generating visual interpretations of semantic content of a given natural language that can be then visualized either as a static scene or a dynamic animation. This survey discusses requirements and challenges of developing such systems and reports 26 graphical systems that exploit natural language interfaces and addresses both artificial intelligence and visualization aspects. This work serves as a frame of reference to researchers and to enable further advances in the field.
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