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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

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Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to NLP FREE CHAPTER 2. Finding Parts of Text 3. Finding Sentences 4. Finding People and Things 5. Detecting Part of Speech 6. Representing Text with Features 7. Information Retrieval 8. Classifying Texts and Documents 9. Topic Modeling 10. Using Parsers to Extract Relationships 11. Combined Pipeline 12. Creating a Chatbot 13. Other Books You May Enjoy

Dictionaries and tolerant retrieval


Dictionary data structures store the list term vocabulary, with the list of documents that contain the given term, also as posting.

Dictionary data structures can be stored in two different ways: using hash tables or trees. The naive approach to storing such data structures will lead to performance issues when the corpus grows. Some IR systems use the hash approach, whereas others use the tree approach to make the dictionaries. Both approaches have their pros and cons.

Hash tables store vocabulary terms in the form of integers, which are obtained by hashing. Lookups or searches in hash tables are faster,as it is time constant O(1). If the search is prefix-based search like find text starting with "abc", it will not work if the hash tables are used to store the terms because terms will be hashed. It is not easy to find minor variants. As the terms grow, rehashing is expensive.

A tree base approach uses a tree structure, normally a binary tree, which is very...

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