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Title: Key phrase extraction from user generated content
Authors: Lee, Angeline Kai Zhen
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Abstract: [1] The Stanford Natural Language Processing Group. Retrieved from [2] L. Ratinov and D. Roth, Design Challenges and Misconceptions in Named Entity Recognition. CoNLL (2009) [3] OpenNLP. Retrieved from [4] Stanford Log-linear Part-Of-Speech Tagger. Retrieved from [5] A. Turpin and W. Hersh. (2004). Do Clarity Scores for Queries Correlate with User Performance? [6] Steve Cronen-Townsend and W. Bruce Croft. (2002). Quantify Query Ambiguity [7] Kullback–Leibler divergence. Retrieved from [8] Apache Lucene Core. Retrieved from
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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