Automatic phrase indexing for document retrieval
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
Looking in text windows: their size and composition
Information Processing and Management: an International Journal
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Some inconsistencies and misidentified modeling assumptions in probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
The Text REtrieval Conferences (TRECs)
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
GE-Miner: integration of cluster ensemble and text mining for comprehensive gene expression analysis
International Journal of Bioinformatics Research and Applications
Proceedings of the Second ACM International Conference on Web Search and Data Mining
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Integrating relation and keyword matching in information retrieval
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Mapping the intellectual structure by co-word: a case of international management science
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
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We have applied the well-known Robertson-Sparck Jones weighting to sets of indexing features that are different from word-based features. Our features describe the co-occurrences of words in a window range of predefined size. The experiments have been designed to analyse the value of features that are beyond word-based features but all used retrieval methods can be motivated strictly in the probabilistic framework. Among the several implications of our experiments for weighted retrieval is the surprising result that features that describe the co-occurrences of words in sentence-size or paragraph-size windows are significantly better descriptors than purely word-based indexing features.