We show how to consider similarity between features for calculation of similarity of objects in
the Vector Space Model (VSM) for machine learning algorithms and other classes of …

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 …

Cross-language information retrieval (CLIR) deals with retrieving relevant documents in one
language using queries expressed in another language. As CLIR tools rely on translation …

Arabic is the 6th most wide-spread natural language in the world with more than 350 million
native speakers. Arabic question answering systems are gaining great importance due to …

Knowledge bases and the Web of Linked Data have become important assets for search,
recommendation, and analytics. Natural-language questions are a user-friendly mode of …

We demonstrate significant improvement on the MCTest question answering task
(Richardson et al., 2013) by augmenting baseline features with features based on syntax …

In this paper we explore the utility of sentiment analysis and semantic word classes for
improving why-question answering on a large-scale web corpus. Our work is motivated by …

In this dissertation, we address the need for an intelligent machine reading at scale (MRS)
Question Answering (QA) system on the Holy Qur'an, given the permanent interest of …

We study the robustness of machine reading comprehension (MRC) models to entity
renaming--do models make more wrong predictions when the same questions are asked …

Question-answering (QA) systems aim to provide answers for given questions. The answers
can be extracted or generated from either unstructured or structured text. Therefore, QA is …