Найти книгу: "Textual Mirrors"

As they were entering Egypt, Abram glimpsed Sarai's reflection in the Nile River. Though he had been married to her for years, this moment is positioned in a rabbinic narrative as a revelation. «Now I know you are a beautiful woman,» he says; at that moment he also knows himself as a desiring subject, and knows too to become afraid for his own life due to the desiring gazes of others. There are few scenes in rabbinic literature that so explicitly stage a character's apprehension of his or her own or another's literal reflection. Still, Dina Stein argues, the association of knowledge and reflection operates as a central element in rabbinic texts. Midrash explicitly refers to other texts; biblical texts are both reconstructed and taken apart in exegesis, and midrashic narrators are situated liminally with respect to the tales they tell. This inherent structural quality underlies the propensity of rabbinic literature to reflect or refer to itself, and the «self» that is the object of reflection is not just the narrator of a tale but a larger rabbinic identity, a coherent if polyphonous entity that emerges from this body of texts. Textual Mirrors draws on literary theory, folklore studies, and semiotics to examine stories in which self-reflexivity operates particularly strongly to constitute rabbinic identity through the voices of Simon the Just and a handsome shepherd, the daughter of Asher, the Queen of Sheba, and an unnamed maidservant. In Stein's readings, these self-reflexive stories allow us to go through the looking glass: where the text comments upon itself, it both compromises the unity of its underlying principles—textual, religious, and ideological—and confirms it.

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This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access: – information extraction and retrieval; – text classification and clustering; – opinion mining; – comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model on real collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering (regression logistics, kernel methods, Markov fields, etc.), multilingualism and machine translation, and emerging applications such as information exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stephane Clinchant and Eric Gaussier. 2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Reza Amini, David Buffoni, Patrick Gallinari,?Tuong Vinh Truong and Nicolas Usunier. Part 2: Classification and Clustering 3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis,?Michel Burlet and Yves Denneulin. 4. Kernel Methods for Textual Information Access, Jean-Michel Renders. 5. Topic-Based Generative Models for Text Information Access, Jean-Cedric Chappelier. 6. Conditional Random Fields for Information Extraction, Isabelle Tellier and Marc Tommasi. Part 3: Multilingualism 7. Statistical Methods for Machine Translation, Alexandre Allauzen and Francois Yvon. Part 4: Emerging Applications 8. Information Mining: Methods and Interfaces for Accessing Complex Information, Josiane Mothe, Kurt Englmeier and Fionn Murtagh. 9. Opinion Detection as a Topic Classification Problem, Juan-Manuel Torres-Moreno, Marc El-Beze, Patrice Bellot and?Frederic Bechet.

The Wiley Handbook of Contextual Behavioral Science describes the philosophical and empirical foundation of the contextual behavioral science movement; it explores the history and goals of CBS, explains its core analytic assumptions, and describes Relational Frame Theory as a research and practice program. This is the first thorough examination of the philosophy, basic science, applied science, and applications of Contextual Behavioral Science Brings together the philosophical and empirical contributions that CBS is making to practical efforts to improve human wellbeing Organized and written in such a way that it can be read in its entirety or on a section-by-section basis, allowing readers to choose how deeply they delve into CBS Extensive coverage of this wide ranging and complex area that encompasses both a rich basic experimental tradition and in-depth clinical application of that experimental knowledge Looks at the development of RFT, and its implications for alleviating human suffering

This book addresses the field of geographic information extraction and retrieval from textual documents. Geographic information retrieval is a rapidly emerging subject, a trend fostered by the growing power of the Internet and the emerging possibilities of data dissemination. After positioning his work in this field in Chapter 1, the author makes proposals in the following two chapters. Chapter 2 focuses on spatial and temporal information indexing and retrieval in corpora of textual documents. Propositions for both spatial and temporal information retrieval (IR) are made. Chapter 3 tackles the use of generalized spatial and temporal indexes, which are produced from there in the framework of multi-criteria IR. Geographic IR (GIR) is discussed at length, since this IR combines the criteria of spatial, temporal and thematic research. The author provides a rich bibliographical study of the current approaches focused on the modeling and retrieval of spatial and temporal information in textual documents, and similarity measures developed thus far in the literature. The book concludes with a broad perspective of the remaining scientific challenges. Several areas of research are discussed, such as integration of a domain-based ontology, modeling of spatial footprints from the interpretation of spatial relation, and parsing of relations between features deemed relevant within a document resulting from a GIR process. Contents Foreword, Christophe Claramunt. 1. Access by Geographic Content to Textual Corpora: What Orientations ? 2. Spatial and Temporal Information Retrieval in Textual Corpora. 3. Multicriteria Information Retrieval in Textual Corpora. 4. General Conclusion. About the Authors Christian Sallaberry is currently Assistant Professor at the Law, Economics and Management Faculty in Pau, France. His current research interests are in the fields of geographical information retrieval (GIR) in textual corpora: spatial, temporal and thematic information recognition, analyzing, indexing and retrieval. He is interested in spatial, temporal and thematic criteria combinations within a GIR process.