Cancer is the second leading cause of death in the United States, surpassed only by heart disease . Approximately 1.6 million Americans will receive treatment for a variety of cancers annually . This increase in oncology nursing care opportunities highlights the need to ensure that nurses have the skills, knowledge, and tools that allow them to safely provide care. Because Undergraduate nursing...

We previously proposed a fast spoken term detection method that uses a suffix array data structure for searching large-scale speech documents. The method reduces search time via techniques such as keyword division and iterative lengthening search. In this paper, we propose a statistical method of assigning different threshold values to sub-keywords to further accelerate search. Specifically, th...

In this paper we consider the problem of efficiently producing results for full-text keyword search queries over XML documents. We describe full-text search query semantics and propose a method for efficient evaluation of keyword search queries with these semantics suitable for native XML databases. Method uses inverted file index which may be efficiently updated when a part of some XML documen...

Abstract. Our work is a contribution to the model-theoretic study of equality-free fuzzy predicate logics. We give a characterization of elementary equivalence in fuzzy predicate logics using elementary extensions and introduce an strengthening of this notion, the so-called strong elementary equivalence. Using the method of diagrams developed in [5] and elementary extensions we present a counte...

We developed a Web search system called " Cyclone " , which extracts high quality term descriptions and helps users to obtain encyclopedic knowledge efficiently. In the current implementation , multiple paragraph-style descriptions extracted from different Web pages are presented in response to a user keyword. However, to obtain sufficient information for a single keyword, a user usually has to...

The performance of keyword search systems depends heavily on the quality of confidence scores. In this work, a novel discriminative score calibration method has been proposed. By training an MLP classifier employing the word posterior probability and several novel normalized scores, we can obtain a relative improvement of 4.67% for the actual term-weighted value (ATWV) metric on the OpenKWS15 d...

Entity relation extraction is mainly focused on researching extraction approaches and improving precision of the extraction results. Although many efforts have been made on this field, there still exist some problems. In order to improve the performance of extracting entity relation, we propose a tuple refinement method based on relationship keyword extension. Firstly, we utilize the diversity ...

Twitter is a microblog service that generates a huge amount of textual content daily. All this content needs to be explored by means of text mining, natural language processing, information retrieval, and other techniques. In this context, automatic keyword extraction is a task of great usefulness. A fundamental step in text mining techniques consists of building a model for text representation...