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SYSTEM AND METHOD OF ANNOTATING UTTERANCES BASED ON TAGS ASSIGNED BY UNMANAGED CROWDS
SYSTEM AND METHOD OF ANNOTATING UTTERANCES BASED ON TAGS ASSIGNED BY UNMANAGED CROWDS
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机译:基于未经管理的人群分配的标签对话语进行注释的系统和方法
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摘要
A system and method of tagging utterances with Named Entity Recognition ("NER") labels using unmanaged crowds is provided. The system may generate various annotation jobs in which a user, among a crowd, is asked to tag which parts of an utterance, if any, relate to various entities associated with a domain. For a given domain that is associated with a number of entities that exceeds a threshold N value, multiple batches of jobs (each batch having jobs that have a limited number of entities for tagging) may be used to tag a given utterance from that domain. This reduces the cognitive load imposed on a user, and prevents the user from having to tag more than N entities. As such, a domain with a large number of entities may be tagged efficiently by crowd participants without overloading each crowd participant with too many entities to tag.
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