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This paper describes the functionality of MEAD, a comprehensive, public domain, open source, multidocument multilingual summariza-tion environment that has been thus far downloaded by more than 500 organizations. MEAD has been used in a variety of summarization applications ranging from summarization for mobile devices to Web page summarization within a(More)
Over the last few years there has been substantial research on text summarization, but comparatively little research has been carried out on adaptable components that allow rapid development and evaluation of summarization solutions. This paper presents a set of adaptable summarization components together with well-established evaluation tools, all within(More)
This paper describes the MUMIS project, which applies ontology based Information Extraction to improve the results of Information Retrieval in multimedia archives. The domain specific ontology, the multilingual lexicons and the information passed between the different processing modules are all encoded in XML. The innovative aspect is the use of a cross(More)
We discuss robustness in LE systems from the perspective of engineering, and the predictability of both outputs and construction process that this entails. We present an architectural system that contributes to engineering robustness and low-overhead systems development (GATE, a General Architecture for Text Engineering). To verify our ideas we present(More)
Business Intelligence (BI) requires the acquisition and ag-gregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key(More)
Around 10% of the population has dyslexia, a reading disability that negatively affects a person's ability to read and comprehend texts. Previous work has studied how to optimize the text layout, but adapting the text content has not received that much attention. In this paper, we present an eye-tracking study that investigates if people with dyslexia would(More)
We present a user study for two different automatic strategies that simplify text content for people with dyslexia. The strategies considered are the standard one (replacing a complex word with the most simpler synonym) and a new one that presents several synonyms for a complex word if the user requests them. We compare texts transformed by both strategies(More)
Lexical simplification is the task of replacing a word in a given context by an easier-to-understand synonym. Although a number of lexical simplification approaches have been developed in recent years, most of them have been applied to English, with recent work taking advantage of parallel monolingual datasets for training. Here we present LexSiS, a lexical(More)