Building A Scientific Concept Hierarchy Database (Schbase)
PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1(2015)
摘要
Extracted keyphrases can enhance numerous applications ranging from search to tracking the evolution of scientific discourse. We present SCHBASE, a hierarchical database of keyphrases extracted from large collections of scientific literature. SCHBASE relies on a tendency of scientists to generate new abbreviations that "extend" existing forms as a form of signaling novelty. We demonstrate how these keyphrases/concepts can be extracted, and their viability as a database in relation to existing collections. We further show how keyphrases can be placed into a semantically-meaningful "phylogenetic" structure and describe key features of this structure. The complete SCHBASE dataset is available at: http://cond.org/schbase.html.
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