Natural Language Annotation for Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Natural Language Annotation for Machine Learning

简体网页||繁体网页
James Pustejovsky 作者
O'Reilly Media
译者
2012-9 出版日期
350 页数
USD 39.99 价格
Paperback
丛书系列
9781449306663 图书编码

Natural Language Annotation for Machine Learning 在线电子书 图书标签: NLP  机器学习  O'Reilly  语言学  计算语言学  语料库语言学  ML  计算机科学   


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发表于2024-11-22


Natural Language Annotation for Machine Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Natural Language Annotation for Machine Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Natural Language Annotation for Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Natural Language Annotation for Machine Learning 在线电子书 用户评价

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干货不多。

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精读了chapter1,2,3,7,如果目的不是text annotation, 这本书可能不是很适合。

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传统语言学家进入现代计算语言学的必经之路,可能不是唯一,但之一是没有问题的。

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干货不多。

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这本书的精华是附录A里面的语料库资源

Natural Language Annotation for Machine Learning 在线电子书 著者简介

James Pustejovsky

James Pustejovsky teaches and does research in Artificial Intelligence and Computational Linguistics in the Computer Science Department at Brandeis University. His main areas of interest include: lexical meaning, computational semantics, temporal and spatial reasoning, and corpus linguistics. He is active in the development of standards for interoperability between language processing applications, and lead the creation of the recently adopted ISO standard for time annotation, ISO-TimeML. He is currently heading the development of a standard for annotating spatial information in language. More information on publications and research activities can be found at his webpage: pusto.com.

Amber Stubbs

Amber Stubbs is a Ph.D. candidate in Computer Science at Brandeis University in the Laboratory for Linguistics and Computation. Her dissertation is focused on creating an annotation methodology to aid in extracting high-level information from natural language files, particularly biomedical texts. Information about her publications and other projects can be found on her website: http://pages.cs.brandeis.edu/~astubbs/.


Natural Language Annotation for Machine Learning 在线电子书 图书目录


Natural Language Annotation for Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Natural Language Annotation for Machine Learning 在线电子书 图书描述

Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process.

Systems exist for analyzing existing corpora, but making a new corpus can be extremely complex. To help you build a foundation for your own machine learning goals, this easy-to-use guide includes case studies that demonstrate four different annotation tasks in detail. You’ll also learn how to use a lightweight software package for annotating texts and adjudicating the annotations.

This book is a perfect companion to O'Reilly’s Natural Language Processing with Python, which describes how to use existing corpora with the Natural Language Toolkit.

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