@article{Ercan07lexicalChains,
  abstract = {Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A lexical chain holds a set of semantically related words of a text and it can be said that a lexical chain represents the semantic content of a portion of the text. Although lexical chains have been extensively used in text summarization, their usage for keyword extraction problem has not been fully investigated. In this paper, a keyword extraction technique that uses lexical chains is described, and encouraging results are obtained.},
  added-at = {2010-03-05T19:50:57.000+0100},
  author = {Ercan, Gonenc and Cicekli, Ilyas},
  biburl = {http://www.bibsonomy.org/bibtex/2a2ce0a2396c2db71f15b6c35daa31f01/lee_peck},
  description = {ScienceDirect - Information Processing & Management : Using lexical chains for keyword extraction},
  doi = {DOI: 10.1016/j.ipm.2007.01.015},
  interhash = {125688a52156e39122101918247285c3},
  intrahash = {a2ce0a2396c2db71f15b6c35daa31f01},
  issn = {0306-4573},
  journal = {Information Processing & Management},
  keywords = {07 Ercan WordNet chains extraction keyword lexical text},
  note = {Text Summarization},
  number = 6,
  pages = {1705 - 1714},
  timestamp = {2010-03-05T19:50:57.000+0100},
  title = {Using lexical chains for keyword extraction},
  url = {http://www.sciencedirect.com/science/article/B6VC8-4N5KY5S-2/2/fdb331a352bdad3b6cd61b929f37ec54},
  volume = 43,
  year = 2007
}