Description: This paper explores the possible benefits of the interaction between automatic extractive summarization and text classification. Through experiments performed on standard test collections, the authors show that techniques for extractive summarization can be effectively combined with classification methods, resulting in improved performance in a text categorization task. Moreover, comparative results suggest that the synergy between text summarization and text classification can be regarded as a new application-oriented evaluation testbed for automatic summarization.

Description: This presentation accompanies a paper discussing research on a novel scheme to reduce static leakage energy in SRAM arrays. The increasing sub-threshold leakage current levels with newer technology nodes have been identified by ITRS (2001) as one of the major fundamental problems faced by the semiconductor industry. Concurrently, the expected performance improvement and functionality integration expectations drive the continued reduction in feature size. This results in ever-increasing power per unit area and the accompanying problem of heat removal and cooling as stated in J.M.C. Stork (1995). Portable battery-powered applications, fuelled by pervasive and embedded computing, have seen tremendous growth and have reached a point where battery energy and power density can't be increased further according to T. Bell (1991). This raises the computational throughput per watt target for the future technology nodes. SRAM arrays which are used widely as a system component, such as caches and register files, in both high-performance and portable systems, are getting to be dominant power consumers because of their large capacity and area. Hence any reduction in cache energy can result in considerable overall power reduction. The authors propose a novel circuit technique using depletion mode devices, to reduce the static energy of SRAM array ...

Description: This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations are reliable and hardly distinguishable from manual annotations.

Description: Subjectivity and meaning are both important properties of language. This paper explores their interaction, and brings empirical evidence in support of the hypotheses that (1) subjectivity is a property that can be associated with word senses, and (2) word sense disambiguation can directly benefit from subjectivity annotations.