Machine Reading Comprehension (MRC) is a challenging Natural Language Processing
(NLP) research field with wide real-world applications. The great progress of this field in …

Recent advances in deep learning have improved the performance of many Natural
Language Processing (NLP) tasks such as translation, question-answering, and text …

This paper offers insights into the diffusion and impact of artificial intelligence in science.
More specifically, we show that neural network-based technology meets the essential …

In this work, we tackle the problem of machine reading comprehension (MRC) on the Holy
Qur'an to address the lack of Arabic datasets and systems for this important task. We …

Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. It is an important research topic which has been widely studied in e …

Recent advances in the field of natural language processing has improved state-of-the-art
performances on many tasks including question answering for languages like English …

Large language models have made significant advancements in natural language
processing (NLP), exhibiting human performance across various classic NLP tasks. These …

The tremendous advancements in deep learning techniques have empowered question
answering (QA) systems with the capability of dealing with various tasks. Many commercial …

This paper presents a systematic review of benchmarks and approaches for explainability in
Machine Reading Comprehension (MRC). We present how the representation and …

With the considerable achievements of data-hungry deep learning methods in natural
language processing tasks, a great amount of effort has been devoted to develop more …