Wikify!: linking documents to encyclopedic knowledge
R. Mihalcea, und A. Csomai.
Proceedings of the sixteenth ACM Conference on information and knowledge management, Seite 233--242. New York, NY, USA, ACM, (2007)

This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations are reliable and hardly distinguishable from manual annotations.

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@inproceedings{mihalcea2007wikify,
  abstract = {This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations are reliable and hardly distinguishable from manual annotations.},
  acmid = {1321475},
  added-at = {2013-03-19T15:19:07.000+0100},
  address = {New York, NY, USA},
  author = {Mihalcea, Rada and Csomai, Andras},
  biburl = {https://puma.uni-kassel.de/bibtex/24917a0c8eb1ea05b2d103166dfaeeb6e/jaeschke},
  booktitle = {Proceedings of the sixteenth ACM Conference on information and knowledge management},
  doi = {10.1145/1321440.1321475},
  interhash = {8e00f4c1515b89a9a035c9d4b78d7bed},
  intrahash = {4917a0c8eb1ea05b2d103166dfaeeb6e},
  isbn = {978-1-59593-803-9},
  keywords = {entity extraction named ner wikify wikipedia},
  location = {Lisbon, Portugal},
  numpages = {10},
  pages = {233--242},
  publisher = {ACM},
  timestamp = {2013-03-19T15:22:39.000+0100},
  title = {Wikify!: linking documents to encyclopedic knowledge},
  url = {http://doi.acm.org/10.1145/1321440.1321475},
  year = 2007
}

%0 Conference Paper
%1 mihalcea2007wikify
%A Mihalcea, Rada
%A Csomai, Andras
%B Proceedings of the sixteenth ACM Conference on information and knowledge management
%C New York, NY, USA
%D 2007
%I ACM
%K entity extraction named ner wikify wikipedia
%P 233--242
%R 10.1145/1321440.1321475
%T Wikify!: linking documents to encyclopedic knowledge
%U http://doi.acm.org/10.1145/1321440.1321475
%X This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations are reliable and hardly distinguishable from manual annotations.
%@ 978-1-59593-803-9

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Wikify!: linking documents to encyclopedic knowledge
R. Mihalcea, und A. Csomai.
Proceedings of the sixteenth ACM Conference on information and knowledge management, Seite 233--242. New York, NY, USA, ACM, (2007)

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Wikify!: linking documents to encyclopedic knowledgeR. Mihalcea, und A. Csomai. Proceedings of the sixteenth ACM Conference on information and knowledge management, Seite 233--242. New York, NY, USA, ACM, (2007)

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Wikify!: linking documents to encyclopedic knowledge
R. Mihalcea, und A. Csomai.
Proceedings of the sixteenth ACM Conference on information and knowledge management, Seite 233--242. New York, NY, USA, ACM, (2007)