Abstract
Relation extraction involves different types of uncertainty due to the imperfection of the extraction tools and the inherent ambiguity of unstructured text. In this paper, we discuss several ways of handling uncertainties in relation extraction from social media. Our study case is to extract tennis games’ results for two Grand Slam tennis tournaments from tweets. Analysis has been done to find to what extent it is useful to use semantic web, domain knowledge, facts repetition, and authors’ trustworthiness to improve the certainty of the extracted relations.
| Original language | English |
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| Title of host publication | Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015) |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| Number of pages | 4 |
| ISBN (Print) | 978-1-4503-3849-3 |
| DOIs | |
| Publication status | Published - Oct 2015 |
| Event | 8th International Conference on Knowledge Capture (K-CAP 2015), New York, USA: Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015) - New York Duration: 1 Oct 2015 → … |
Conference
| Conference | 8th International Conference on Knowledge Capture (K-CAP 2015), New York, USA |
|---|---|
| City | New York |
| Period | 1/10/15 → … |
Keywords
- Tennis tournament
- Social media
- Named entity linking
- Named entity recognition
- Uncertainty analysis
- Relation extraction
- Semantic Web
- 22/3 OA procedure