CiteSeer: an automatic citation indexing system

@inproceedings{Giles1998CiteSeerAA,
  title={CiteSeer: an automatic citation indexing system},
  author={C. Lee Giles and Kurt D. Bollacker and Steve Lawrence},
  booktitle={DL '98},
  year={1998}
}
We present CiteSeer: an autonomous citation indexing system which indexes academic literature in electronic format (e.g. Postscript files on the Web). CiteSeer understands how to parse citations, identify citations to the same paper in different formats, and identify the context of citations in the body of articles. CiteSeer provides most of the advantages of traditional (manually constructed) citation indexes (e.g. the ISI citation indexes), including: literature retrieval by following… 
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870 Citations
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Methods Citations
242
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TLDR
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TLDR
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References

SHOWING 1-10 OF 37 REFERENCES
AUTOMATIC INDEXING USING BIBLIOGRAPHIC CITATIONS
TLDR
It is shown that the use of bibliographic citations in addition to the normal keyword‐type indicators produces improved retrieval performance, and that in some circumstances, citations are more effective for retrieval purposes than other more conventional terms and concepts.
Comparative citation rankings of authors in monographic and journal literature: a study of sociology
TLDR
The study examined the scholarly literature of sociology and found that the relative rankings of authors who were highly cited in the monographic literature did not change in the journal literature of the same period, suggesting that there may be two distinct populations of highly cited authors.
Evidence of complex citer motivations
There were 20 scholars interviewed about their citation motives in recently published articles. Their 437 citations were scaled along 1 or more of the following 7 citer motives: currency, negative…
Cited Documents as Concept Symbols
TLDR
An interpretation of citation practice in scientific literature is offered which regards citation of a document as an act of symbol usage around the footnote number, and a high degree of uniformity is revealed in the association of specific concepts with specific documents.
On-the-fly Hyperlink Creation for Page Images
TLDR
Using the World-Wide Web, a system for creating hypertext links on the fly in a library composed of bitmapped images of paper documents and text derived from those images by optical-character recognition is described.
Term-Weighting Approaches in Automatic Text Retrieval
An algorithm for suffix stripping
TLDR
An algorithm for suffix stripping is described, which has been implemented as a short, fast program in BCPL and performs slightly better than a much more elaborate system with which it has been compared.
On the Specification of Term Values in Automatic Indexing
TLDR
It is shown that the standard theories for the specification of term values (or weights) are not adequate, and new techniques are introduced for the assignment of weights to index terms, based on the characteristics of individual document collections.
Citation indexing: its theory and application in science
Citation indexing-its theory and application in science, technology, and humanities , Citation indexing-its theory and application in science, technology, and humanities , مرکز فناوری اطلاعات و اطلاع…
Data structures and algorithms for nearest neighbor search in general metric spaces
TLDR
The up-tree (vantage point tree) is introduced in several forms, together‘ with &&ciated algorithms, as an improved method for these difficult search problems in general metric spaces.
...
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