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        <title>An extension of ISO-Space for annotating object direction</title>
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    <abstract>In this paper, we extend an existing annotation scheme ISO-Space for annotating necessary spatial information for the task placing an specified object at a specified location with a specified direction according to a natural language instruction. We call such task the spatial placement problem. Our extension particularly focuses on describing the object direction, when the object is placed on the 2D plane. We conducted an annotation experiment in which a corpus of 20 situated dialogues were annotated. The annotation result showed the number of newly introduced tags by our proposal is not negligible. We also implemented an analyser that automatically assigns the proposed tags to the corpus and evaluated its performance. The result showed that the performance for entity tag was quite high ranging from 0.68 to 0.99 in F-measure, but not the case for relation tags, i.e. less than 0.4 in F-measure.</abstract>
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%0 Conference Proceedings
%T An extension of ISO-Space for annotating object direction
%A Gotou, Daiki
%A Nishikawa, Hitoshi
%A Tokunaga, Takenobu
%Y Hasida, Koiti
%Y Wong, Kam-Fai
%Y Calzorari, Nicoletta
%Y Choi, Key-Sun
%S Proceedings of the 12th Workshop on Asian Language Resources (ALR12)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F gotou-etal-2016-extension
%X In this paper, we extend an existing annotation scheme ISO-Space for annotating necessary spatial information for the task placing an specified object at a specified location with a specified direction according to a natural language instruction. We call such task the spatial placement problem. Our extension particularly focuses on describing the object direction, when the object is placed on the 2D plane. We conducted an annotation experiment in which a corpus of 20 situated dialogues were annotated. The annotation result showed the number of newly introduced tags by our proposal is not negligible. We also implemented an analyser that automatically assigns the proposed tags to the corpus and evaluated its performance. The result showed that the performance for entity tag was quite high ranging from 0.68 to 0.99 in F-measure, but not the case for relation tags, i.e. less than 0.4 in F-measure.
%U https://aclanthology.org/W16-5401
%P 1-9

Markdown (Informal)

[An extension of ISO-Space for annotating object direction](https://aclanthology.org/W16-5401) (Gotou et al., ALR 2016)

• An extension of ISO-Space for annotating object direction (Gotou et al., ALR 2016)

ACL

• Daiki Gotou, Hitoshi Nishikawa, and Takenobu Tokunaga. 2016. An extension of ISO-Space for annotating object direction. In Proceedings of the 12th Workshop on Asian Language Resources (ALR12), pages 1–9, Osaka, Japan. The COLING 2016 Organizing Committee.