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This paper presents a freely available resource for research on handling negation and speculation in review texts. The SFU Review Corpus, consisting of 400 documents of movie, book, and consumer product reviews, was annotated at the token level with negative and speculative keywords and at the sentence level with their linguistic scope. We report statistics(More)
A more and more generalized problem in effective information access is the presence in the same corpus of multiple documents that contain similar information. Generally, users may be interested in locating, for a topic addressed by a group of similar documents, one or several particular aspects. This kind of task, called instance or aspectual retrieval, has(More)
Nowadays many newspapers and news agencies offer personalized information access services and, moreover, there is a growing interest in the improvement of these services. In this paper we present a methodology useful to improve the intelligent personalization of news services and the way it has been applied to a Spanish relevant newspaper: ABC. Our(More)
Detecting negative and speculative information is essential in most biomedical text-mining tasks where these language forms are used to express impressions, hypotheses, or explanations of experimental results. Introduction Medical practitioners are increasingly incorporating results and findings from clinical studies into their work. The availability of(More)
Objective We explored two strategies for query expansion utilizing medical subject headings (MeSH) ontology to improve the effectiveness of medical image retrieval systems. In order to achieve greater effectiveness in the expansion, the search text was analyzed to identify which terms were most amenable to being expanded. Design To perform the expansions we(More)