NA Here are a few tips to help you get started with the academic search engines: Each search engine works slightly differently, so it's worth taking the time to read any available help pages to figure out the best way to use each one. When you're beginning your literature search, try several different key words, both alone and in combination. Then, as you view the results, you can narrow your focus and figure out which key words best describe the kinds of papers in which you are interested.
Integration of collocation statistics into the probabilistic retrieval model by Olga Vechtomova, Stephen Robertson - In 22nd Annual Colloquium on Information Retrieval Research" The paper presents a method of combining corpus information on word collocations with the probabilistic model of information retrieval.
Corpus term dependencies are used to modify the probabilistic retrieval based on the term independence assumption. Collocates are derived from windows around term o Collocates are derived from windows around term occurrences in the corpus.
Statistical measures of mutual information and Z score are applied to select significantly associated collocates which are later used in query expansion. The results of the lexico-semantic analysis of significant collocates and their comparison with engineered term networks and thesauri are also discussed.
In our research we consider two words co-occurring if they occur in either order within a maximum distance of w Elicitation and use of relevance feedback information by Olga Vechtomova, Murat Karamuftuoglu - Information Processing and Management 42 1" The first method consists of asking the user to select a number of sentences that represent documents.
The second method consists of showing to the user a list of noun phrases extracted from the initial document set. Both methods then expand the query based on the user feedback.
The TREC results show that one of the methods is an effective means of interactive query expansion and yields significant performance improvements. The paper presents a comparison of the methods and detailed analysis of the evaluation results.
Show Context Citation Context All collocates with an insignificant degree of association: The remaining collocates are sorted by their Z score. After we obtain sorted lists of collocates of each query term, we select those collocates for query expansion, which co-occur significantly witSimultaneously search multiple life sciences databases at the National Center for Biotechnology Information (NCBI).
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Want to know where THESIS has appeared as a solution. The paper presents a method of combining corpus information on word collocations with the probabilistic model of information retrieval. Corpus term dependencies are used to modify the probabilistic retrieval based on the term independence assumption.
This paper proposes a consumption-based model that can account for many features of the nominal term structure of interest rates. The driving force behind the model is a time-varying price of risk generated by external habit.
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