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- 273 creator diana-maynard.
- 273 creator wim-peters.
- 273 creator yaoyong-li.
- 273 type InProceedings.
- 273 label "Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection".
- 273 sameAs 273.
- 273 abstract "In this paper, we discuss methods of measuring the performance of ontology-based information extraction systems. We focus particularly on the Balanced Distance Metric (BDM), a new metric we have proposed which aims to take into account the more flexible nature of ontologically-based applications. We first examine why traditional Precision and Recall metrics, as used for flat information extraction tasks, are inadequate when dealing with ontologies. We then describe the Balanced Distance Metric (BDM) which takes ontological similarity into account. Finally, we discuss a range of experiments designed to test the accuracy and usefulness of the BDM when compared with traditional metrics and with a standard distance-based metric.".
- 273 hasAuthorList authorList.
- 273 hasTopic Linguistics.
- 273 isPartOf proceedings.
- 273 keyword "Information Extraction, Information Retrieval".
- 273 keyword "Named Entity recognition".
- 273 title "Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection".