Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications 1st Edition by James Pustejovsky (PDF)

Description

Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started.Using detailed examples at every step, you’ll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project.Define a clear annotation goal before collecting your dataset (corpus)Learn tools for analyzing the linguistic content of your corpusBuild a model and specification for your annotation projectExamine the different annotation formats, from basic XML to the Linguistic Annotation FrameworkCreate a gold standard corpus that can be used to train and test ML algorithmsSelect the ML algorithms that will process your annotated dataEvaluate the test results and revise your annotation taskLearn how to use lightweight software for annotating texts and adjudicating the annotationsThis book is a perfect companion to O’Reilly’s Natural Language Processing with Python.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐One of the most “down-to-the-point” book I have read for starting your master’s degree thesis on Annotation for NLP. I absolutely love it. It helps me answer pretty much all questions I have had about the topic, where to find information and how to do it. Impressed.

⭐The description of the fate of Lake Baykal is nightmarish documentation. Read it at you your own peril. It if frightening!

⭐Not sure how useful it will be for me though

⭐Thank you!

⭐A pleasure to read. Very informative and educational. A fresh perspective. One of the better books that I have read in a long time.

⭐I definitely suggest to buy it if you’re interested in understanding how to annotate corpora to build machine learning models.

⭐I am building an application that uses NLP at its core. I have worked on many programming projects before, but this is the first time working with NLP or ML projects in general. For me, this book is priceless as it provides guidance on what, how and what to be aware of when working with NLP data and NLP project. It provides options on corpus building and pros and cons of each. Additionally, it goes into how to analyze annotations and machine-learning results in a very comprehensive terms.At the end, it provides a large list of NLP resources.I refer to this book daily and will continue to do so for duration of my project.If you’re thinking of starting/working on NLP project, this book is a must-read: both before you start and during your project.

⭐bom

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Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications 1st Edition PDF Free Download
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