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Liao et al., 2019 - Google Patents

Unsupervised approaches for textual semantic annotation, a survey

Liao et al., 2019

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Document ID
7014133851121865883
Author
Liao X
Zhao Z
Publication year
Publication venue
ACM Computing Surveys (CSUR)

External Links

Snippet

Semantic annotation is a crucial part of achieving the vision of the Semantic Web and has long been a research topic among various communities. The most challenging problem in reaching the Semantic Web's real potential is the gap between a large amount of unlabeled …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
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