Statistical Semantics of Phrases in Hierarchical Contexts PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistical Semantics of Phrases in Hierarchical Contexts PDF full book. Access full book title Statistical Semantics of Phrases in Hierarchical Contexts by Amy Marie Steier. Download full books in PDF and EPUB format.
Author: Amy Marie Steier
Publisher:
ISBN:
Category :
Languages : en
Pages : 462
Get Book Here
Book Description
Author: Amy Marie Steier
Publisher:
ISBN:
Category :
Languages : en
Pages : 462
Get Book Here
Book Description
Author: Richard K. Belew
Publisher: Cambridge University Press
ISBN: 9780521630283
Category : Computers
Languages : en
Pages : 388
Get Book Here
Book Description
Explains how to build useful tools for searching collections of text and other media.
Author: Bryan Tower
Publisher:
ISBN:
Category :
Languages : en
Pages : 148
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 840
Get Book Here
Book Description
Author: Gary D. Miner
Publisher: Academic Press
ISBN: 0123870119
Category : Mathematics
Languages : en
Pages : 1095
Get Book Here
Book Description
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. - Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible - Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com - Glossary of text mining terms provided in the appendix
Author: Dominique Sportiche
Publisher: John Wiley & Sons
ISBN: 1118470478
Category : Language Arts & Disciplines
Languages : en
Pages : 483
Get Book Here
Book Description
An Introduction to Syntactic Analysis and Theory offers beginning students a comprehensive overview of and introduction to our current understanding of the rules and principles that govern the syntax of natural languages. Includes numerous pedagogical features such as 'practice' boxes and sidebars, designed to facilitate understanding of both the 'hows' and the 'whys' of sentence structure Guides readers through syntactic and morphological structures in a progressive manner Takes the mystery out of one of the most crucial aspects of the workings of language – the principles and processes behind the structure of sentences Ideal for students with minimal knowledge of current syntactic research, it progresses in theoretical difficulty from basic ideas and theories to more complex and advanced, up to date concepts in syntactic theory
Author: Stefan Müller
Publisher: Language Science Press
ISBN: 3961102554
Category : Language Arts & Disciplines
Languages : en
Pages : 1632
Get Book Here
Book Description
Head-Driven Phrase Structure Grammar (HPSG) is a constraint-based or declarative approach to linguistic knowledge, which analyses all descriptive levels (phonology, morphology, syntax, semantics, pragmatics) with feature value pairs, structure sharing, and relational constraints. In syntax it assumes that expressions have a single relatively simple constituent structure. This volume provides a state-of-the-art introduction to the framework. Various chapters discuss basic assumptions and formal foundations, describe the evolution of the framework, and go into the details of the main syntactic phenomena. Further chapters are devoted to non-syntactic levels of description. The book also considers related fields and research areas (gesture, sign languages, computational linguistics) and includes chapters comparing HPSG with other frameworks (Lexical Functional Grammar, Categorial Grammar, Construction Grammar, Dependency Grammar, and Minimalism).
Author: Filippo Menczer
Publisher:
ISBN:
Category :
Languages : en
Pages : 474
Get Book Here
Book Description
Author: Muskan Garg
Publisher: CRC Press
ISBN: 1003800483
Category : Computers
Languages : en
Pages : 271
Get Book Here
Book Description
This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.
Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 800
Get Book Here
Book Description
