A Multilingual Test Collection for the Semantic Search of Entity Categories.
2018
Humans naturally organise and classify the world into sets and categories. These categories expressed in natural language are present
in all data artefacts from structured to unstructured data and play a fundamental role as tags, dataset predicates or ontology attributes.
A better understanding of the category syntactic structure and how to match them semantically is a fundamental problem in the
computational linguistics domain. Despite the high popularity of entity search, entity categories have not been receiving equivalent
attention. This paper aims to present the task of semantic search of entity categories by defining, developing and making publicly
available a multilingual test collection comprehending English, Portuguese and German. The test collections were designed to meet the
demands of the entity search community in providing more representative and semantically complex query sets. In addition, we also
provide comparative baselines and a brief analysis of the results.
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