Event Extraction from Turkish Football Web-casting Texts Using Hand-crafted Templates

Date

2009-09-16

Author

Tunaoglu, Doruk
Alan, Özgür
Sabuncu, Orkunt
Akpinar, Samet
Çiçekli, Fehime Nihan
Alpaslan, Ferda Nur

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In this paper, we present a domain specific information extraction approach We use manually formed templates to extract information from unstructured documents where grammatical and syntactical errors occur frequently We applied our approach to primarily Turkish unstructured soccer web-casting texts Compared to automated approaches we achieve high precision-recall rates (97% - 85%). In addition to that, unlike automated approaches we do not use part-of-speech taggers, parsers, phrase chunkers or that kind of a linguistic tool. As a result, our approach can be applied to any domain or any language without the necessity of successful linguistic tools. The drawback of our approach is the time spent on crafting the templates. We also propose the means to decrease that time.

Subject Keywords

Data mining, Intelligent systems, Games, Internet, Cities and towns, Computer errors, Information analysis, Buildings, Search engines, Ontologies

URI

https://hdl.handle.net/11511/48579

DOI

https://doi.org/10.1109/icsc.2009.16

Conference Name

IEEE International Conference on Semantic Computing (ICSC 2009) (14 - 16 Eylül 2009)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

D. Tunaoglu, Ö. Alan, O. Sabuncu, S. Akpinar, F. N. Çiçekli, and F. N. Alpaslan, “Event Extraction from Turkish Football Web-casting Texts Using Hand-crafted Templates,” presented at the IEEE International Conference on Semantic Computing (ICSC 2009) (14 - 16 Eylül 2009), Berkeley, CA, USA, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48579.