This book brings together linguistics and psycholinguistics. Text representation is considered a cognitive entity: a mental construct that plays a crucial role in both text production and text understanding.The focus is on referential and relational coherence and the role of linguistic characteristics as processing instructions from a text linguistic and discourse psychology point of view. Consequently, this book presents various research methodologies: linguistic analysis, text analysis, corpus linguistics, computational linguistics, argumentation analysis, and the experimental psycholinguistic study of text processing. The authors compare, test, and evaluate linguistic and processing theories of text representation.A state of the art volume in an emerging field of interest, located at the very heart of our communicative behavior: the study of text and text representation.

This book brings together linguistics and psycholinguistics. Text representation is considered a cognitive entity: a mental construct that plays a crucial role in both text production and text understanding. The focus is on referential and relational coherence and the role of linguistic characteristics as processing instructions from a text linguistic and discourse psychology point of view. Consequently, this book presents various research methodologies: linguistic analysis, text analysis, corpus linguistics, computational linguistics, argumentation analysis, and the experimental psycholinguistic study of text processing. The authors compare, test, and evaluate linguistic and processing theories of text representation. A state of the art volume in an emerging field of interest, located at the very heart of our communicative behavior: the study of text and text representation.

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

The interrelated topics of discourse representation and text processing between them comprise a substantial part of comtemporary psycholinguistics, not to mention the related disciplines in which they are studied. The papers that follow are by no means intended to give an overview of this cast research field. Rather, they present some of the most recent research on selected problems within it. Our own prediction is to study discourse representation and text processing from the perspective of mental models theory (Garnham, 1987; Johnson-Laird, 1983). The mental models theory.

Comprehensive and comparative, this volume investigates African American street novelists since the Chicago Black Renaissance and the semiotic strategies they employ in publication, consumption, and depiction of street life. Divided into three chapters, this text analyzes the content, style, and ethics of “street” narrative through a discursive/rhetorical lens, exploring the development of street literature’s formal and contextual concerns to resolve the sociocultural and political questions surrounding cultural work. The book also gives emphasis to “text” or (post)structural literary analysis by answering questions about the genre’s aesthetic and linguistic techniques that respond to the injustices of urban planning. The last chapter, “Representation,” investigates the phenomenological hermeneutics of more recent street literature and its satire, highlighting the political stakes for authorship, credibility, and subjectivity. Through historical and contemporary studies of urban space, Blackness, and adaptations of street literature, this work attempts to network activists, artists, and scholars with the greater reading public by providing a functional ontology of reading the inner city.

This volume is a presentation of all methods of legal knowledge representation from the point of view of jurisprudence as well as computer science. A new method of automatic analysis of legal texts is presented in four case studies. Law is seen as an information system with legally formalised information processes. The achieved coverage of legal knowledge in information retrieval systems has to be followed by the next step: conceptual indexing and automatic analysis of texts. Existing approaches of automatic knowledge representations do not have a proper link to the legal language in information systems. The concept-based model for semi-automatic analysis of legal texts provides this necessary connection. The knowledge base of descriptors, context-sensitive rules and meta-rules formalises properly all important passages in the text corpora for automatic analysis. Statistics and self-organising maps give assistance in knowledge acquisition. The result of the analysis is organised with automatically generated hypertext links. Four case studies show the huge potential but also some drawbacks of this approach.