Handling Uncertainty in Relation Extraction: A Case Study on Tennis Tournament Results Extraction from Tweets
Article No.: 26, Pages 1 - 4
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.
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- Handling Uncertainty in Relation Extraction: A Case Study on Tennis Tournament Results Extraction from Tweets
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Published In
October 2015
209 pages
ISBN:9781450338493
DOI:10.1145/2815833
- Conference Chair:
- Ken Barker,
- Program Chair:
- José Manuel Gómez-Pérez
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Published: 07 October 2015
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