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Anju et al., 2018 - Google Patents

Keyphrase and Relation Extraction from Scientific Publications

Anju et al., 2018

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Document ID
8284144818231114615
Author
Anju R
Ramesh S
Rafeeque P
Publication year
Publication venue
Advances in Machine Learning and Data Science: Recent Achievements and Research Directives

External Links

Snippet

This paper proposes a detailed view of extracting keyphrases and its relations from scientifically published articles such as research papers using conditional random fields (CRF). Keyphrase is a word or set of words that describe the close relationship of content …
Continue reading at www.researchgate.net (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
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
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    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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