Evaluation of QA systems typically involve having a set of pre-defined questions, example queries, and answers to the questions. The Question Answering over Linked Data (QALD) is an evaluation campaign on multilingual question answering over linked data. QALD-4 provides a set of biomedical questions drawn from DrugBank, SIDER and Diseaseome. We wanted to extend this evaluation to a broader set of questions of increasing complexity, and to consider the data from DBpedia, Bio2RDF and BioGateway. Towards this goal, we
(2) created questions, queries, and answers over our KB.
At the moment, evaluation module uses NLP-1 dataset for the evaluation of the full module.
Input is a language tag with configuration containing the address of the module and the number of maximum answers.
"tgm" : ["http://220.127.116.11:1555/templategeneration/templator"],
"dm" : ["http://18.104.22.168:2357/agdistis/run"],
"kb" : ["http://dbpedia.org/sparql"],
Output includes accuracy of the full system applying it to the full NLP-1 dataset.