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        <title>Extracting Spatial Entities and Relations in Korean Text</title>
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        <namePart type="given">Bogyum</namePart>
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        <namePart type="given">Jae</namePart>
        <namePart type="given">Sung</namePart>
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            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</title>
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        <name type="personal">
            <namePart type="given">Yuji</namePart>
            <namePart type="family">Matsumoto</namePart>
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            <namePart type="given">Rashmi</namePart>
            <namePart type="family">Prasad</namePart>
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    <abstract>A spatial information extraction system retrieves spatial entities and their relationships for geological searches and reasoning. Spatial information systems have been developed mainly for English text, e.g., through the SpaceEval competition. Some of the techniques are useful but not directly applicable to Korean text, because of linguistic differences and the lack of language resources. In this paper, we propose a Korean spatial entity extraction model and a spatial relation extraction model; the spatial entity extraction model uses word vectors to alleviate the over generation and the spatial relation extraction mod-el uses dependency parse labels to find the proper arguments in relations. Experiments with Korean text show that the two models are effective for spatial information extraction.</abstract>
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        <url>https://aclanthology.org/C16-1225</url>
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%0 Conference Proceedings
%T Extracting Spatial Entities and Relations in Korean Text
%A Kim, Bogyum
%A Lee, Jae Sung
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F kim-lee-2016-extracting
%X A spatial information extraction system retrieves spatial entities and their relationships for geological searches and reasoning. Spatial information systems have been developed mainly for English text, e.g., through the SpaceEval competition. Some of the techniques are useful but not directly applicable to Korean text, because of linguistic differences and the lack of language resources. In this paper, we propose a Korean spatial entity extraction model and a spatial relation extraction model; the spatial entity extraction model uses word vectors to alleviate the over generation and the spatial relation extraction mod-el uses dependency parse labels to find the proper arguments in relations. Experiments with Korean text show that the two models are effective for spatial information extraction.
%U https://aclanthology.org/C16-1225
%P 2389-2396

Markdown (Informal)

[Extracting Spatial Entities and Relations in Korean Text](https://aclanthology.org/C16-1225) (Kim & Lee, COLING 2016)

• Extracting Spatial Entities and Relations in Korean Text (Kim & Lee, COLING 2016)

ACL

• Bogyum Kim and Jae Sung Lee. 2016. Extracting Spatial Entities and Relations in Korean Text. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 2389–2396, Osaka, Japan. The COLING 2016 Organizing Committee.