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COALA - A Rule-Based Approach to Answer Type Prediction
2020
International Semantic Web Conference
For answering a question correctly, the previous detection of the answer type is essential. Especially in the field of Question Answering (QA) over knowledge bases, answers might be of many different types as natural language is ambiguous and a question might lead to different relevant queries. For semantic knowledge bases data types (such as date, string, or number) as well as all ontology classes (such as athlete, championship, or television show) have to be taken into account. Therefore, the
dblp:conf/semweb/SteinmetzS20
fatcat:rbmg2kho6ncjzaxocfjbchg43e