Answering questions, finding the most appropriate answer to the question given by the user
as input are among the important tasks of natural language processing. Many studies have …

User requirements for result diversification in image retrieval have been increasing with the
explosion of image resources. Result diversification requires that image retrieval systems …

Question answering systems are capable of responding to user inquiries using natural
language. These systems analyze questions utilizing natural language processing methods …

Recently, the analysis of textual data has gained importance due to the increase in
comments made on web platforms and the need for ready-made answering systems …

The university admission process can be overwhelming for applicants and admission
officers, with many questions being asked and answered every year. The manual …

The generic Question Answering (QA) framework processes questions by querying a
knowledge base and extracting answers from retrieved passages using various Natural …

ABSTRACT Domain based Question Answering is concerned with building systems which
provide answers to natural language questions that are asked specific to a domain. It comes …

Q&A forum relies on people with common interest to provide answers to questions. Q&A
communities present a large number of unanswered questions and an automatic …

Question Answering System (QAS) is an information retrieval technique which provides a
descriptive answer for the given question rather than web links. QAS has many applications …

The internet has caused a revolutionary information explosion and we have more resources
available than ever before. The size of just the English language Wikipedia articles is about …