Abstract

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.

Keywords:
Computer science Information retrieval World Wide Web Natural language processing

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Topics

Mathematics, Computing, and Information Processing
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
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