As part of an initiative to highlight highly curated datasets that have been collected using crowdsourcing, Figure Eight (the AI and crowdsourcing platform formerly known as Crowdflower) has teamed up with CrowdTruth to highlight our work on medical relation extraction from sentences. Both the dataset and the task templates have been made available, and it is now possible to re-use the task template directly in any Figure Eight account. For more information, read the post on the Figure Eight website, as well as our papers:
- Anca Dumitrache, Lora Aroyo and Chris Welty: Crowdsourcing Ground Truth for Medical Relation Extraction. ACM TiiS Special Issue on Human-Centered Machine Learning (in publication).
- Anca Dumitrache, Lora Aroyo, Chris Welty: CrowdTruth Measures for Language Ambiguity: The Case of Medical Relation Extraction. LD4IE at ISWC 2015.
- Anca Dumitrache, Lora Aroyo, Chris Welty: Achieving Expert-Level Annotation Quality with CrowdTruth: The Case of Medical Relation Extraction. BDM2I at ISWC 2015.