Automatic Question Answering (QA) has been successfully applied in various domains such
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …

Use of conversational agents, like chatbots, avatars, and robots is increasing worldwide. Yet,
their effectiveness in health care is largely unknown. The aim of this advanced review was to …

Objective The study sought to develop and evaluate neural natural language processing
(NLP) packages for the syntactic analysis and named entity recognition of biomedical and …

Abstract Background Question Answering (QA) systems enable users to retrieve exact
answers for questions posed in natural language. Objective This study aims at identifying …

Question Answering (QA) systems aim at supplying precise answers to questions, posed by
users in a natural language form. They are used in a wide range of application areas, from …

Objective The amount of information for clinicians and clinical researchers is growing
exponentially. Text summarization reduces information as an attempt to enable users to find …

With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …

The advent of Question Answering Systems (QASs) has been envisaged as a promising
solution and an efficient approach for retrieving significant information over the Internet. A …

We consider the problem of automatically generating a narrative biomedical evidence
summary from multiple trial reports. We evaluate modern neural models for abstractive …

Background and objective Question answering (QA), the identification of short accurate
answers to users questions written in natural language expressions, is a longstanding issue …