New submission accepted at ISA-16 as part of LREC 2020

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The following new publication was accepted at the 16th Joint ACL – ISO Workshop on Interoperable Semantic Annotation (ISA-16) as part of LREC 2020.

  • [1] Transfer of ISOSpace into a 3D Environment for Annotations and Applications

[1] [pdf] A. Henlein, G. Abrami, A. Kett, and A. Mehler, “Transfer of ISOSpace into a 3D Environment for Annotations and Applications,” in 16th Joint ACL – ISO Workshop on Interoperable Semantic Annotation PROCEEDINGS, Marseille, 2020, pp. 32-35.
[Bibtex]
@InProceedings{Henlein:et:al:2020,
  Author         = {Henlein, Alexander and Abrami, Giuseppe and Kett, Attila and Mehler, Alexander},
  Title          = {Transfer of ISOSpace into a 3D Environment for Annotations and Applications},
booktitle      = {16th Joint ACL - ISO Workshop on Interoperable Semantic Annotation PROCEEDINGS},
  month          = {May},
  year           = {2020},
  address        = {Marseille},
  publisher      = {European Language Resources Association},
  pages     = {32--35},
  abstract  = {People's visual perception is very pronounced and therefore it is usually no problem for them to describe the space around them in words. Conversely, people also have no problems imagining a concept of a described space. In recent years many efforts have been made to develop a linguistic concept for spatial and spatial-temporal relations. However, the systems have not really caught on so far, which in our opinion is due to the complex models on which they are based and the lack of available training data and automated taggers. In this paper we describe a project to support spatial annotation, which could facilitate annotation by its many functions, but also enrich it with many more information. This is to be achieved by an extension by means of a VR environment, with which spatial relations can be better visualized and connected with real objects. And we want to use the available data to develop a new state-of-the-art tagger and thus lay the foundation for future systems such as improved text understanding for Text2Scene.},
  url       = {https://www.aclweb.org/anthology/2020.isa-1.4},
  pdf      = {http://www.lrec-conf.org/proceedings/lrec2020/workshops/ISA16/pdf/2020.isa-1.4.pdf}
}