Deep Learning Techniques for Answering Complex Questions

By A Chandra Obula Reddy

Question Answering System (QAS) has been developed for automatically

answering the questions asked by the users in a natural language using either natural

language documents or the pre-structured database. In the past years, the usages of

internet by the users are increasing rapidly due to the large collection of data and they

can obtain an answer for any type of questions. When complex questions are given to

the people, they are unable to find the accurate solution for the provided question as

well the source which they need to refer for getting relevant solution.

1.1 Overview of Question Answering System

A question-answering implementation, typically a computer programme, may

construct its answers by querying a structured database of knowledge or information,

commonly referred to as a knowledge base 1]. More often, question answering

systems can elicit responses from a collection of unstructured documents in natural

language. There is no need of the person to search answer for the question by

referring one-by-one web pages 2]. Text-based QA finds most accurate solution from

a set of answers for the question provided by the candidate 3]. When complex

questions are given to the people, they are unable to find the accurate solution for the

provided question as well the source which they need to refer for getting apt solution

4]. In the past years, the usages of internet by the users are increasing rapidly due to

the large collection of data and they can obtain an answer for any type of questions.

Many kinds of queries are provided in Question answering (QA) by human beings for

attaining more accurate and efficient answers in QAS

• Format: Paperback
• Language: English
• ISBN: 1916706886
• ISBN13: 9781916706880
• Release Date: August 2023
• Publisher: Self Publish
• Length: 120 Pages
• Weight: 0.38 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"