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Cleopatra VII Philopator was a well-known queen of ancient Egypt who gained worldwide fame for her beauty, intelligence, and political acumen. She ruled over Egypt from 51 BC until her death in 30 BC, and was the last ruler of the Ptolemaic dynasty. Cleopatra was the daughter of Ptolemy XII Auletes, and she became queen at the age of 18. During her time as queen, she had relationships with two of the most powerful men in ancient Rome: Julius Caesar and Mark Antony. Her involvement with these two men led to her downfall and ultimately, her death. Cleopatra was known for her intellectual curiosity and her ability to speak multiple languages. She was also a skilled diplomat, and was able to maintain her power by forming alliances and negotiating with other leaders. Her reign saw the growth of Egypt's economy and a resurgence of its cultural and artistic traditions. Cleopatra was also a patron of the arts, and was known for her love of music, poetry, and literature. Despite her many accomplishments, she was viewed by many of her contemporaries as a dangerous woman who used her beauty and intelligence to manipulate those around her.
The advent of computer aided design and the proliferation of computer aided design tools have been instrumental in furthering the state-of-the art in integrated circuitry. Continuing this progress, however, demands an emphasis on creating user-friendly environments that facilitate the interaction between the designer and the CAD tool. The realization of this fact has prompted investigations into the appropriateness for CAD of a number of user-interface technologies. One type of interface that has hitherto not been considered is the natural language interface. It is our contention that natural language interfaces could solve many of the problems posed by the increasing number and sophistication of CAD tools. This thesis represents the first step in a research effort directed towards the eventual development of a natural language interface for the domain of computer aided design. The breadth and complexity of the CAD domain renders the task of developing a natural language interface for the complete domain beyond the scope of a single doctoral thesis. Hence, we have initally focussed on a sub-domain of CAD. Specifically, we have developed a natural language interface, named Cleopatra, for circuit-simulation post-processing. In other words, with Cleopatra a circuit-designer can extract and manipulate, in English, values from the output of a circuit-simulator (currently SPICE) without manually having to go through the output files produced by the simulator.
Masters Theses in the Pure and Applied Sciences was first conceived, published, and dis seminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volume were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 22 (thesis year 1977) a total of 10,658 theses titles from 28 Canadian and 227 United States universities. We are sure that this broader base for theses titles reported will greatly enhance the value of this important annual reference work. While Volume 22 reports theses submitted in 1977, on occasion, certain universities do report theses submitted in previous years but not reported at the time.
EVALITA (http://www.evalita.it/) is the reference evaluation campaign of both Natural Language Processing and Speech Technologies for the Italian language. The objective of the shared tasks proposed at EVALITA is to promote the development of language technologies for Italian, providing a common framework where different systems and approaches can be evaluated and compared in a consistent manner. This volume collects the final and extended contributions presented at EVALITA 2011, the third edition of the evaluation campaign. The 36 revised full papers were carefully reviewed and selected from a total of 87 submissions. The papers are organized in topical sections roughly corresponding to evaluation tasks: parsing - dependency parsing track, parsing - constituency parsing track, domain adaptation for dependency parsing, named entity recognition on transcribed broadcast news, cross-document coreference resolution of named person entities, anaphora resolution, supersense tagging, frame labeling over italian texts, lemmatisation, automatic speech recognition - large vocabulary transcription, forced alignment on spontaneous speech.