The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …

Question Answering (QA) targets answering questions defined in natural language.
Question Answering Systems offer an automated approach to procuring solutions to queries …

Abstract Question Answering (QA) Systems is an automated approach to retrieve correct
responses to the questions asked by human in natural language. The fundamental thought …

As technology developed the use of internet has tremendously increased because of the
availability of huge amount of data. Question answering is a specialized area in the field of …

This article presents FIDJI, a question-answering (QA) system for French. FIDJI combines
syntactic information with traditional QA techniques such as named entity recognition and …

The Natural language question (NLQ) processing module is considered a fundamental
component in the natural language interface of a Question Answering (QA) system, and its …

With the huge amount of data available on web, it has turned out to be a fertile area for
Question Answering (QA) research. Question answering, an instance of information retrieval …

This paper provides an explanation to how a recently developed machine learning
approach, namely the Probability Measure Graph Self-Organizing Map (PM-GraphSOM) can …

QA@ INEX aims to evaluate a complex question-answering task. In such a task, the set of
questions is composed of factoid, precise questions that expect short answers, as well as …

Intent classification aims at determining the customers' future actions based on the produced
text or the used language. This process differs from other issues of topic classification that …