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This book introduces formal semantics techniques for a natural language processing audience. Methods discussed involve: (i) the denotational techniques used in model-theoretic semantics, which make it possible to determine whether a linguistic expression is true or false with respect to some model of the way things happen to be; and (ii) stages of interpretation, i.e., ways to arrive at meanings by evaluating and converting source linguistic expressions, possibly with respect to contexts, into output (logical) forms that could be used with (i). The book demonstrates that the methods allow wide coverage without compromising the quality of semantic analysis. Access to unrestricted, robust and accurate semantic analysis is widely regarded as an essential component for improving natural language processing tasks, such as: recognizing textual entailment, information extraction, summarization, automatic reply, and machine translation.
This volume contains papers presented at the 19th International Conference on Algorithmic Learning Theory (ALT 2008), which was held in Budapest, Hungary during October 13–16, 2008. The conference was co-located with the 11th - ternational Conference on Discovery Science (DS 2008). The technical program of ALT 2008 contained 31 papers selected from 46 submissions, and 5 invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2008 was the 19th in the ALT conference series, established in Japan in 1990. The series Analogical and Inductive Inference is a predecessor of this series: it was held in 1986, 1989 and 1992, co-located with ALT in 1994, and s- sequently merged with ALT. ALT maintains its strong connections to Japan, but has also been held in other countries, such as Australia, Germany, Italy, Sin- pore, Spain and the USA. The ALT conference series is supervised by its Steering Committee: Naoki Abe (IBM T. J.
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Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
Elastomeric proteins are ubiquitous in nature, where they have evolved precise structures and properties that are necessary to perform specific biological roles and functions. This book emphasizes the impact of amino acid sequence on modulating protein structure, properties, and function. Examples include conformational ensemble dynamics, environmental responsiveness, self-assembly, physico-mechanical properties, morphology, and properties tailored for biomedical applications. This foundational framework is not only critical to advance scientific understanding and knowledge on elastomeric proteins but also enables the conceptualization, rational design, and development of biosynthetic elastomers and their analogous polypeptides for a variety of applications. Edited and contributed by pioneering researchers in the field, the book provides a timely overview of the materials, along with the synthesis techniques, the unique characteristics of elastomeric proteins, and biomedical and industrial applications. The book will provide a reference for graduate students and researchers interested in designing biomimetic proteins tailored for various functions.
In the last few years a large repetoire of methods for the activation of unreactive organic functionalities and for their use in organic synthesis has been developed. In this volume, areas ranging from the activation of C-H bonds to the chemical transformation of dinitrogen are authoritatively discussed by leading experts in the field. To activate means to be able to cleave otherwise inert chemical bonds. The cleavage and formation of chemical bonds is fundamental to organic synthesis; these new activation methodologies make hitherto infeasible reactions extremely easy and create new opportunities for innovative organic transformations, for both industry and academia. This is the first book that provides a thorough and timely coverage of both inorganic and organic synthetic aspects of bond activation, thus giving a broad overview of the field and allowing both inorganic and organic chemists ready access to the methodologies involved.