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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

Extracting relationships for a question-answer system


In this section, we will examine an approach for extracting relationships that can be useful for answering queries. Possible/candidate queries include the following:

  • Who is/was the 14th president of the United States?
  • What is the first president's home town?
  • When was Herbert Hoover president?

The process of answering these types of questions is not easy. We will demonstrate one approach to answer certain types of questions, but we will simplify many aspects of this process. Even with these restrictions, we will find that the system responds well to the queries.

This process consists of several steps:

  1. Finding word dependencies
  2. Identifying the type of questions
  3. Extracting its relevant components
  4. Searching for the answer
  5. Presenting the answer

We will show the general framework to identify whether a question is of the types who, what, when, or where. Next, we will investigate some of the issues required to answer the who type questions.

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