Download E-books Introduction to Linguistic Annotation and Text Analytics (Synthesis Lectures on Human Language Technologies) PDF

By Graham Wilcock

Linguistic annotation and textual content analytics are lively parts of analysis and improvement, with educational meetings and occasions equivalent to the Linguistic Annotation Workshops and the once a year textual content Analytics Summits. This publication offers a uncomplicated advent to either fields, and goals to teach that sturdy linguistic annotations are the basic starting place for strong textual content analytics. After in brief reviewing the fundamentals of XML, with sensible workouts illustrating in-line and stand-off annotations, a bankruptcy is dedicated to explaining the various degrees of linguistic annotations. The reader is inspired to create instance annotations utilizing the WordFreak linguistic annotation software. the subsequent bankruptcy indicates how annotations may be created instantly utilizing statistical NLP instruments, and compares units of instruments, the OpenNLP and Stanford NLP instruments. the second one 1/2 the e-book describes varied annotation codecs and offers sensible examples of the way to switch annotations among diverse codecs utilizing XSLT changes. the 2 major textual content analytics architectures, GATE and UIMA, are then defined and in comparison, with useful workouts exhibiting the best way to configure and customise them. the ultimate bankruptcy is an advent to textual content analytics, describing the most functions and features together with named entity acceptance, coreference answer and data extraction, with useful examples utilizing either open resource and advertisement instruments. Copies of the instance records, scripts, and stylesheets utilized in the publication can be found from the better half site, positioned at http://sites.morganclaypool.com/wilcock. desk of Contents: operating with XML / Linguistic Annotation / utilizing Statistical NLP instruments / Annotation Interchange / Annotation Architectures / textual content Analytics

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