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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Explore various approaches to organize and extract useful text from unstructured data using Java

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784391799
Length 262 pages
Edition 1st Edition
Languages
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Authors (2):
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Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Richard M Reese Richard M Reese
Author Profile Icon Richard M Reese
Richard M Reese
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Toc

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:

  • Who is/was the 14th president of the United States?

  • What is the 1st 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 the 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 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.

To keep the example simple...

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