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Information Extraction: Algorithms and Prospects in a Retrieval Context
This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.
Intelligence and Security Informatics
This book constitutes the refereed proceedings of the IEEE International Conference on Intelligence and Security Informatics, ISI 2006. Gathers 39 revised full papers, 30 revised short papers, and 56 extended poster abstracts, organized in topical sections including intelligence analysis and knowledge discovery; access control, privacy, and cyber trust; surveillance and emergency response; infrastructure protection and cyber security; terrorism informatics and countermeasures; surveillance, bioterrorism, and emergency response.
Mining User Generated Content
Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed to tackle the huge amount of real-time, multimedia, and multilingual data. Researchers must also know how to assess the social aspects of UGC, such as user relations and influential users. Mining User Generated Content is the first focused effort to compile state-of-the-art research and address future directions of UGC. It explains how to collect, index, and analyze UGC to uncover social trends and...
Discourse Markers in Interaction
The aim of this volume is to bring together researchers interested in investigating the role that Discourse Markers play in language production and comprehension from an experimental or corpus-based perspective. In any kind of human communication, Discourse Markers are part of the game. This omnipresence informs us of a crucial inherent aspect of human language. Yet, as a linguistic category, Discourse Markers remain underdetermined. To gain deeper insight into this complex linguistic category, more systematic work is needed on the production and on the interpretation of Discourse Markers in a variety of situational settings, resorting to different methodological approaches. The contribution...
Research Handbook on the Law of Artificial Intelligence
The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.
Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches
"This book defines the role of advanced natural language processing within natural language processing, and alongside other disciplines such as linguistics, computer science, and cognitive science"--Provided by publisher.
Automatic Indexing and Abstracting of Document Texts
Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.
The Strategic Digital Media Entrepreneur
A goldmine of strategic insights and practical business guidance covering all aspects of media entrepreneurship in the Digital Age The media industry is facing epic upheaval. Revolutionary new technologies compel those in businesses as diverse as broadcasting to book publishing to radically recreate their business models or be left in history’s wake. At the same time, those with the next big idea are eager to acquire the business know-how needed to make it in today's brave new world of media. Written by a uniquely well-qualified author team, this book addresses the concerns of both audiences. Penelope Muse Abernathy and JoAnn Sciarrino provide timely lessons on everything from media financ...
Legal Knowledge and Information Systems
This volume contains the proceedings of the seventeenth Jurix conference on Legal Knowledge and Information Systems (Jurix 2004), which was held at the Harnack Haus of the Max Planck Society, in Berlin, Germany. Although the Jurix conference moved from The Netherlands to Germany, almost half of the papers are from The Netherlands. Except for a paper from Canada, the others are from 5 other countries in Western Europe. The effort to extend Jurix beyond The Netherlands and establish it as the leading European conference on legal knowledge systems is making progress. The papers in this publication focus on the topics of legal knowledge management and information retrieval; legal knowledge acquisition using natural language processing; legal ontologies; case-based reasoning; reasoning about evidence and legal reasoning support.
Visualization for Information Retrieval
Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems along with technical and theoretical findings. The book also provides practical details for the implementation of an information retrieval visualization system.
