Question answering, serving as one of important tasks in natural language processing,
enables machines to understand questions in natural language and answer the questions …

Open-domain textual question answering (QA), which aims to answer questions from large
data sources like Wikipedia or the web, has gained wide attention in recent years. Recent …

Question Answering (QA), the process of computing valid answers to questions formulated
in natural language, has recently gained attention in both industry and academia …

Question Answer System (QAS) automatically answers the question asked in natural
language. Due to the varying dimensions and approaches that are available, QAS has a …

Abstract Community Question Answering (CQA) has become an indispensable way for
modern people to share and acquire knowledge. It allows users to ask questions, which will …

Question answering has been around for more than half a century. The problem was
addressed with different solutions in the eras of different technologies. Some proved more …

Text classification (TC) is an important basic task in the field of Natural Language
Processing (NLP), and multi-label text classification (MLTC) is an important branch of TC …

The main aim of this paper is to provide a characterization of the response space for
questions using a taxonomy grounded in a dialogical formal semantics. As a starting point …

The field of text mining which deals with the providing of answers to the questions of the
users is also one of the hot topics for researchers. The difficulty seen in the proper …

Question Answering (QA) is a field of study addressed to develop automatic methods for
answering questions expressed in natural language. Recently, the emergence of the new …