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SMART 2020 : SeMantic AnsweR Type prediction task
SMART 2020 : SeMantic AnsweR Type prediction task

SMART 2020 : SeMantic AnsweR Type prediction task

Online
Event Date: November 02, 2020 - November 06, 2020
Submission Deadline: September 21, 2020
Notification of Acceptance: September 26, 2020
Camera Ready Version Due: October 07, 2020



About

SMART task is a dataset for the answer type prediction task. Question Answering is a popular task in the field of Natural Language Processing and Information Retrieval, in which, the goal is to answer a natural language question (going beyond the document retrieval). Question or answer type classification plays a key role in question answering. The questions can be generally classified based on Wh-terms (Who, What, When, Where, Which, Whom, Whose, Why). Similarly, the answer type classification is determining the type of the expected answer based on the query. Such answer type classifications in literature are performed as a short-text classification task using a set of coarse-grained types, for instance, either 6 or 50 types with TREC QA task. A granular answer type classification is possible with popular Semantic Web ontologies such as DBpedia (~760 classes) and Wikidata (~50K classes).



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Credits and Sources

[1] SMART 2020 : SeMantic AnsweR Type prediction task


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