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    A Multilingual Test Collection for the Semantic Search of Entity Categories

    Sales, Juliano Efson and Barzegar, Siamak and Franco, Wellington and Bermeitinger, Bernhard and Cunha, Tiago and Davis, Brian and Freitas, Andre and Handschuh, Siegfried (2018) A Multilingual Test Collection for the Semantic Search of Entity Categories. In: LREC 2018, Eleventh International Conference on Language Resources and Evaluation. LREC: Language Resources and Evaluation Conference, pp. 2505-2510. ISBN 9791095546009

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    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.

    Item Type: Book Section
    Additional Information: The LREC 2018 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
    Keywords: semantic search; category search; paraphrasing; entity search; multilingual test collection;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 13414
    Depositing User: Brian Davis
    Date Deposited: 07 Oct 2020 14:19
    Publisher: LREC: Language Resources and Evaluation Conference
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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