heuristics of ambiguity priority, entity extraction is performed first on an original text using a set of patterns, ordered by pattern ambiguity. Later segmenting a sequence of characters into words, the chunks are tagged according to the order of ambiguity, using dictionary, pattern and statistics. Focusing

patterns or heuristic preference scores must be given manually, hence no guarantee for optimality. This paper proposes a new method of sentence segmentation based on a classification tree technique. In this method, optimal segmentation patterns and the optimal order of their application are automatically

-crafted linguistic heuristics to determine the uncertainty scope with the help of dependency structures present in the sentence parse tree. We report on a series of experiments we conducted to evaluate the performance and usefulness of our system. Keywords-Uncertainty; natural language requirements; speculative

and Maksym Ivanyna (2012). A Comparative View on the Tax Performance of Developing Countries: Regional Patterns, Non-Tax Revenue and Governance. Economics: The Open-Access, Open-Assessment E-Journal, Vol. 6, 2012-32. http Introduction Pressure is mounting for countries with low tax yields or lax enforcement

Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy applications. In addition to labor saving, the ben-efits delivered by these advances are many and include reliable prediction of outcome, minimization of downtime, system-produced documentation, and support for archiving, historical queries, and provenance. The PRISM/PRISM++ system delivers these benefits, by solving the difficult prob-lem of automating the migration of databases and the rewrit-ing of queries and updates. In this paper, we present the PRISM/PRISM++ system and the novel technology that made it possible. In particular, we focus on the difficult and previously unsolved problem of supporting legacy queries and updates under schema and integrity constraints evolution. The PRISM/PRISM++ approach consists in providing the users with a set of SQL-based Schema Modification Opera-tors (SMOs), which describe how the tables in the old schema are modified into those in the new schema. In order to sup-port updates, SMOs are extended with integrity constraints

effectively. In acute insomnia the norm would be recovery of sleep pattern, again reflecting the system's plasticity in function and default regression towards good sleep. Automaticity refers to the involuntary nature of the well-adjusted schedule, to the habitual, conditioned associations that are part

Intrusion detection/prevention systems (IDSs/IPSs) heavily rely on signature databases and pattern matching (PM) techniques to identify network attacks. The engines of such systems often employ traditional PM algorithms to search for telltale patterns in network flows. The observations that real

of the Art Generation of Summaries To face these narrative information overload problems, different summary gen-eration approaches have been proposed. There are mainly two approaches to perform this task: Statistical and Linguistic Methods. The statistical methods are independent of the language

Abstract — Information extraction is the process of automatically identifying facts of interest from text, and so transforming free text into structured data. The field has a history of applications analysing text from news and financial sources and more recently from biological research papers

articles (e.g., gender and race of the participants, means, and standard deviation; see SPECIAL ISSUE: PREPARING RESEARCH REPORTS 229 article preparation reflects such lofty notions as scholarship and perspective, because the author places the descriptive and explanatory material into a broader context