As an increasing amount of information becomes available in the form of electronic documents, the need to intelligently process such texts makes shallow text understanding methods such as Information Extraction (IE) particularly useful. IE has been restrictedly defined by DARPA's MUC program [MUC Proceedings] as the task of extracting specific, well-defined types of information from text in res...

A new generation of intelligent applications can be enabled by broad-coverage repositories of knowledge. One emerging approach to constructing such repositories is proactive knowledge collection from large numbers of volunteer contributors. In this paper, we study the coverage and quality of a representative collection of part-of information contributed by volunteers. We analyze growth of cover...

Automatic Text Summarization (ATS) models yield outcomes with insufficient coverage of crucial details and poor degrees novelty. The first issue resulted from the lengthy input, while second problem characteristics training dataset itself. This research employs divide-and-conquer approach to address by breaking input into smaller pieces be summarized, followed conquest results in order cover mo...

Many reliability prediction techniques require an estimate for the number of residual faults. In this paper, a new theory is developed for using test coverage to estimate the number of residual faults. This theory is applied to a specific example with known faults and the results agree well with the theory. The theory is used to justify the use of linear extrapolation to estimate residual fault...

INTRODUCTION Low vaccine coverage is a major public health concern, the consequences of which contribute to around 1.5 million child deaths from vaccine-preventable diseases. Thus, innovative strategies to rapidly increase coverage and recall rates for vaccinations are urgently required. Mobile text messaging (or short messaging service, SMS) has the potential to help increase vaccination cover...