Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural
Language Processing. The goal of this field is to develop systems for answering the …

Internet of Things applications for smart cities have currently become a primary target for
advanced persistent threats of botnets. This article proposes a botnet detection system …

Methods for document clustering and topic modelling in online social networks (OSNs) offer
a means of categorising, annotating and making sense of large volumes of user generated …

Automatically evaluating the quality of dialogue responses for unstructured domains is a
challenging problem. Unfortunately, existing automatic evaluation metrics are biased and …

In this paper we study the problem of answering cloze-style questions over documents. Our
model, the Gated-Attention (GA) Reader, integrates a multi-hop architecture with a novel …

Current approaches to characterize and detect hate speech focus on content posted in
Online Social Networks (OSNs). They face shortcomings to get the full picture of hate speech …

During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …

Many current natural language processing applications for social media rely on
representation learning and utilize pre-trained word embeddings. There currently exist …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

Social media platforms host discussions about a wide variety of topics that arise everyday.
Making sense of all the content and organising it into categories is an arduous task. A …