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.- Anthology ID:
- C16-1225
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Yuji Matsumoto, Rashmi Prasad
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 2389–2396
- Language:
- URL:
- https://aclanthology.org/C16-1225
- DOI:
- Cite (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.
- Cite (Informal):
- Extracting Spatial Entities and Relations in Korean Text (Kim & Lee, COLING 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/C16-1225.pdf