Download or read book Text Representation written by Ted Sanders and published by John Benjamins Publishing. This book was released on 2001 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Text Representation written by Ted Sanders and published by John Benjamins Publishing. This book was released on 2001-12-19 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Practical Natural Language Processing written by Sowmya Vajjala and published by O'Reilly Media. This book was released on 2020-06-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Encyclopedia of Database Systems written by Ling Liu and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Download or read book Text Analysis and Representation written by Ian Cushing and published by Cambridge University Press. This book was released on 2018-01-25 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential study guides for the future linguist. Text Analysis and Representation is a general introduction to the methods and principles behind English linguistics study, suitable for students at advanced level and beyond. Written with input from the Cambridge English Corpus, it looks at the way meaning is made using authentic written and spoken examples. This helps students give confident analysis and articulate responses. Using short activities to help explain analysis methods, this book guides students through major modern issues and concepts. It summarises key concerns and modern findings, while providing inspiration for language investigations and non-examined assessments (NEAs) with research suggestions.

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Download or read book Text Representation written by Ted Sanders and published by John Benjamins Publishing. This book was released on 2001-01-01 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters of this volume are all based on papers presented at the International workshop on text representation: Linguistic and psycholinguistic aspects, held at Utrecht University. The theme of this title is text representation, or more specifically the linguistic and psycholinguistic aspects thereof. Text representation is a cognitive entity: a mental construct that plays a crucial role in both text production and text understanding. In text production it is the basis for lexical retrieval and for producing and combining the discourse units. In text understanding it is the result of the decoding of the linguistic information in a discourse. This book characterizes a field of study in which the two disciplines, linguistics and psycholinguistics, are growing together.

Download or read book Representation and the Text written by William G. Tierney and published by State University of New York Press. This book was released on 1997-07-31 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on authorial representations of contested reality in qualitative research.This book focuses on representations of contested realities in qualitative research. The authors examine two separate, but interrelated, issues: criticisms of how researchers use "voice," and suggestions about how to develop experimental voices that expand the range of narrative strategies. Changing relationships between researchers and respondents dictate alterations in textual representations--from the "view from nowhere" to the view from a particular location, and from the omniscient voice to the polyvocality of communities of individuals. Examples of new representations and textual experiments provide models for how some authors have struggled with voice in their texts, and in so doing, broaden who they and we mean by "us."

Download or read book Alienation and Resistance written by Laura Findlay and published by Cambridge Scholars Publishing. This book was released on 2020-05-22 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection draws together recent work by new and emerging scholars which examines the representation of alienation and resistance in texts and images, both modern and traditional. The essays collected here incorporate both “high” and “low” culture, covering a wide range of disciplines from traditional literary sources to the more modern mediums of film and comic. Informing each of the contributions is one overriding question: what are the roles, forms, and conditions of alienation and resistance in our culture and its diverse media? The contributors to this collection find examples of both alienation and resistance everywhere, from sixteenth century drama to contemporary fiction, from American comics to Eastern European cinema, from representations of the body to the site of the body itself. In seeking out these representations of alienation and resistance, the essays begin also to probe the limits and limitations of such terms. As such, the collection as a whole offers both a broad overview of the field of play as it stands today and makes tentative suggestions as to potential paths of future inquiry.

Download or read book Discourse Representation and Text Processing written by Garnham Oakhill and published by Taylor & Francis. This book was released on 1993-10 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Applied Text Analysis with Python written by Benjamin Bengfort and published by "O'Reilly Media, Inc.". This book was released on 2018-06-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity

Download or read book Representation and the Text written by William G. Tierney and published by SUNY Press. This book was released on 1997-01-01 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on authorial representations of contested reality in qualitative research.This book focuses on representations of contested realities in qualitative research. The authors examine two separate, but interrelated, issues: criticisms of how researchers use "voice," and suggestions about how to develop experimental voices that expand the range of narrative strategies. Changing relationships between researchers and respondents dictate alterations in textual representations--from the "view from nowhere" to the view from a particular location, and from the omniscient voice to the polyvocality of communities of individuals. Examples of new representations and textual experiments provide models for how some authors have struggled with voice in their texts, and in so doing, broaden who they and we mean by "us."

Download or read book Representation Learning written by Nada Lavrač and published by Springer Nature. This book was released on 2021-07-10 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph addresses advances in representation learning, a cutting-edge research area of machine learning. Representation learning refers to modern data transformation techniques that convert data of different modalities and complexity, including texts, graphs, and relations, into compact tabular representations, which effectively capture their semantic properties and relations. The monograph focuses on (i) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed in these various areas of modern data science, enabling the reader to understand the common underlying principles and to gain insight using selected examples and sample Python code. The monograph should be of interest to a wide audience, ranging from data scientists, machine learning researchers and students to developers, software engineers and industrial researchers interested in hands-on AI solutions.

Download or read book Graph Structures for Knowledge Representation and Reasoning written by Madalina Croitoru and published by Springer. This book was released on 2014-01-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and argumentation frameworks.

Download or read book Developmental Spans in Event Comprehension and Representation written by Paul van den Broek and published by Routledge. This book was released on 2013-12-16 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about building metaphorical bridges--all sorts of bridges. At the most basic level, it concerns the bridges that individuals build to understand the events that they experience--the bridges that connect the events in the mind's eye. At another level, it is about bridges that interconnect findings and theoretical frameworks concerning event comprehension and representation in different age groups, ranging from infancy to adulthood. Finally, it is about building bridges between researchers who share interests, yet may not ordinarily even be aware of each other's work. The success of the book will be measured in terms of the extent to which the contributors have been able to create a picture of the course of development across a wide span in chronological age, and across different types of events, from the fictional to the actual. The individuals whose work is represented in this book conduct their work in a shared environment--they all have an intellectual and scholarly interest in event comprehension and representation. These interests are manifest in the overlapping themes of their work. These include a focus on how people come to temporally integrate individual "snapshots" to form a coherent event that unfolds over time, to understand cause and effect, and to appreciate the role of the goal of events. Another overlapping theme involves the possibility of individual differences. These themes are apparent in work on the early development of representations of specific episodes and autobiographical memories, and comprehension of complex events such as stories involving multiple characters and emotions. The editors of this volume had two missions: * to create a development span by bringing together researchers working from infancy to adulthood, and * to create a bridge between individuals working from within the text comprehension perspective, within the naturalistic perspective, and with laboratory analogues to the naturalistic perspective. Their measure of success will be the extent to which they have been able to create a picture of the course of development across a wide span in chronological age, and across different types of events--from fictional to actual.