Automatic Text-to-Scene Conversion in the Traffic Accident Domain
(2005) IJCAI-05, Nineteenth International Joint Conference on Artificial Intelligence p.1073-1078- Abstract
- In this paper, we describe a system that automatically converts narratives into 3D scenes. The texts, written in Swedish, describe road accidents. One of the program’s key features is that it animates the generated scene using temporal relations between the events. We believe that this system is the first text-to-scene converter that is not restricted to invented narratives.
The system consists of three modules: natural language interpretation based on information extraction (IE) methods, a planning module that produces a geometric description of the accident, and finally a visualization module that renders the geometric description as animated graphics.
An evaluation of the system was carried out in two steps: First, we... (More) - In this paper, we describe a system that automatically converts narratives into 3D scenes. The texts, written in Swedish, describe road accidents. One of the program’s key features is that it animates the generated scene using temporal relations between the events. We believe that this system is the first text-to-scene converter that is not restricted to invented narratives.
The system consists of three modules: natural language interpretation based on information extraction (IE) methods, a planning module that produces a geometric description of the accident, and finally a visualization module that renders the geometric description as animated graphics.
An evaluation of the system was carried out in two steps: First, we used standard IE scoring methods to evaluate the language interpretation. The results are on the same level as for similar systems tested previously. Secondly, we performed a small user study to evaluate the quality of the visualization. The results validate our choice of methods, and since this is the first evaluation of a text-to-scene
conversion system, they also provide a baseline for
further studies. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/589354
- author
- Johansson, Richard LU ; Berglund, Anders ; Danielsson, Magnus and Nugues, Pierre LU
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Natural language understanding, Information extraction, Text-to-scene conversion, Automatic illustration, Natural language processing, Visualization
- host publication
- IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence
- editor
- Pack Kaelbling, Leslie and Alessandro, Alessandro
- pages
- 1073 - 1078
- publisher
- Professional Book Center
- conference name
- IJCAI-05, Nineteenth International Joint Conference on Artificial Intelligence
- conference dates
- 2005-07-30 - 2005-08-05
- external identifiers
-
- scopus:33750688964
- ISBN
- 0938075934
- language
- English
- LU publication?
- no
- id
- cadf0acb-ab04-4b83-a1ff-545f4443bbf2 (old id 589354)
- alternative location
- http://www.ijcai.org/papers/0450.pdf
- date added to LUP
- 2016-04-04 11:37:34
- date last changed
- 2022-01-29 22:09:33
@inproceedings{cadf0acb-ab04-4b83-a1ff-545f4443bbf2, abstract = {{In this paper, we describe a system that automatically converts narratives into 3D scenes. The texts, written in Swedish, describe road accidents. One of the program’s key features is that it animates the generated scene using temporal relations between the events. We believe that this system is the first text-to-scene converter that is not restricted to invented narratives.<br/><br> The system consists of three modules: natural language interpretation based on information extraction (IE) methods, a planning module that produces a geometric description of the accident, and finally a visualization module that renders the geometric description as animated graphics.<br/><br> An evaluation of the system was carried out in two steps: First, we used standard IE scoring methods to evaluate the language interpretation. The results are on the same level as for similar systems tested previously. Secondly, we performed a small user study to evaluate the quality of the visualization. The results validate our choice of methods, and since this is the first evaluation of a text-to-scene<br/><br> conversion system, they also provide a baseline for<br/><br> further studies.}}, author = {{Johansson, Richard and Berglund, Anders and Danielsson, Magnus and Nugues, Pierre}}, booktitle = {{IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence}}, editor = {{Pack Kaelbling, Leslie and Alessandro, Alessandro}}, isbn = {{0938075934}}, keywords = {{Natural language understanding; Information extraction; Text-to-scene conversion; Automatic illustration; Natural language processing; Visualization}}, language = {{eng}}, pages = {{1073--1078}}, publisher = {{Professional Book Center}}, title = {{Automatic Text-to-Scene Conversion in the Traffic Accident Domain}}, url = {{http://www.ijcai.org/papers/0450.pdf}}, year = {{2005}}, }