Beyond bag-of-words: Bigram-enhanced context-dependent term weights

While term independence is a widely held assumption in most of the established information retrieval approaches, it is clearly not true and various works in the past have investigated a relaxation of the assumption. One approach is to use n‐grams in document representation instead of unigrams. Howev...

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Veröffentlicht in:	Journal of the American Society for Information Science and Technology 2014-06, Vol.65 (6), p.1134-1148
Hauptverfasser:	Dang, Edward K. F., Luk, Robert W. P., Allan, James
Format:	Artikel
Sprache:	eng
Schlagworte:	Bibliometrics. Scientometrics Bibliometrics. Scientometrics. Evaluation Conferences Context Estimating techniques Exact sciences and technology Feedback Information and communication sciences Information retrieval Information science. Documentation Inverse Judgment Lexical access Library and information science. General aspects Mathematical analysis N-Gram language models Noise Noise prediction Noise reduction Performance enhancement Probability Pruning Queries Query processing Relevance feedback Representations Retrieval Retrieval performance measures Sciences and techniques of general use Studies Terms Texts Weighting
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