TREC document topic annotations

  • Garrick Sherman (Creator)

Dataset

Description

Human annotations of randomly selected judged documents from the AP 88-89, Robust 2004, WT10g, and GOV2 TREC collections. Seven annotators were asked to read documents in their entirety and then select up to ten terms they felt best represented the main topic(s) of the document. Terms were chosen from among a set sampled from the document in question and from related documents.
Date made availableOct 16 2019
PublisherUniversity of Illinois Urbana-Champaign

Keywords

  • document topicality
  • information retrieval
  • TREC
  • document description

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