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 …

Large Language Models (LLMs) have demonstrated impressive zero shot performance on a
wide range of NLP tasks, demonstrating the ability to reason and apply commonsense. A …

There is a growing body of work in recent years to develop pre-trained language models
(PLMs) for the Arabic language. This work concerns addressing two major problems in …

Recently, there has been an increasing interest in building question answering (QA) models
that reason across multiple modalities, such as text and images. However, QA using images …

Question answering systems (QAS) are developed to answer questions presented in natural
language by extracting the answer. The development of QAS is aimed at making the Web …

The advance of natural language processing and information retrieval models has
significantly influenced the field of question answering systems. There have been an …

Existing models on Machine Reading Comprehension (MRC) require complex model
architecture for effectively modeling long texts with paragraph representation and …

Intelligent question-answering (QA) systems have witnessed increased interest in recent
years, particularly in their ability to facilitate information access, data interpretation or …

Extraction of event causality and especially implicit causality from text data is a challenging
task. Causality is often treated as a specific relation type and can be considered as a part of …

The purpose of this work is to develop a question answering system for the questions related
to the highest degree of comparison based on open web resources. Examples of such …