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

Date

2009-09-16

Author

Tunaoglu, Doruk
Alan, Oezguer
Sabuncu, Orkunt
Akpinar, Samet
Cicekli, Nihan K.
Alpaslan, Ferda Nur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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

Collections

Department of Computer Engineering, Conference / Seminar