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

Doruk, Tunaoğlu
Alan, Özgür
Orkunt, Sabuncu
Samet, Akpınar
Çiçekli, Fehime Nihan
Alpaslan, Ferda Nur
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.
Citation Formats
T. Doruk, Ö. Alan, S. Orkunt, A. Samet, 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, 2021. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5298635.