Text2SceneVR: Generating Hypertexts with VAnnotatoR as a Pre-processing Step for Text2Scene Systems


연구 분야: Strategies



학회: HT '20: Proceedings of the 31st ACM Conference on Hypertext and Social Media


초록

The automatic generation of digital scenes from texts is a central task of computer science. This task requires a kind of text comprehension, the automation of which is tied to the availability of sufficiently large, diverse and deeply annotated data, which is freely available. This paper introduces Text2SceneVR, a system that addresses this bottleneck problem by allowing its users to create a sort of spatial hypertexts in Virtual Reality (VR). We describe Text2SceneVR's data model, its user interface and a number of problems related to the implicitness of natural language in the manifestation of spatial relations that Text2SceneVR aims to address while trying to remain language independent. Finally, we present a user study with which we evaluated Text2SceneVR.


Author Profile
Giuseppe Abrami

Goethe University Frankfurt Germany

Germany
Author Profile
Alexander Henlein

Goethe University Frankfurt Germany

Germany
Author Profile
Attila Kett

Goethe University Frankfurt Germany

Germany

📄 논문 정보

발행 연도 2020년
인용수 8
출판 국가 Germany
사이트 ACM
좋아요 수 0

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