Question answering is an important task in machine comprehension. The new SQuAD dataset allows us to deploy recent NLP deep learning techniques and train an end-to-end system to predict the start and end position of the answer in the given context, instead of precisely selecting the words of the correct answer. We propose to use combine bi-directional LSTM (BiLSTM) and context matching to devel...

Machine Comprehension (MC) of text is an important problem in Natural Language Processing (NLP) research, and the task of Question Answering (QA) is a major way of assessing MC outcomes. One QA dataset that has gained immense popularity recently is the Stanford Question Answering Dataset (SQuAD). Successful models for SQuAD have all involved the use of Recurrent Neural Network (RNN), and most o...

The Flying Squad (MEDIC I) based at the Royal Infirmary, Edinburgh, commenced operation in 1980. The MEDIC I response to out of hospital non-traumatic cardiac arrest over the past decade is reported. On-scene resuscitation was attempted in 384 patients. A total of 149 (39%) patients were successfully resuscitated and transferred to hospital. Thirty-six (9.4%) patients survived to discharge from...

In this paper, we present the gated selfmatching networks for reading comprehension style question answering, which aims to answer questions from a given passage. We first match the question and passage with gated attention-based recurrent networks to obtain the question-aware passage representation. Then we propose a self-matching attention mechanism to refine the representation by matching th...

CHAOS, the Combat Hunter Action and Observation Simulation, is an immersive simulation training environment which gives small military units the experience of interacting with local Afghan villagers during a patrol. It is a physical build-out of a housing compound in a mock Afghan village, with several lifesize reactive and interactive animated Pashto-speaking virtual characters. The exercise r...

There are two important issues in the Genetic Algorithm searching and optimization process: population diversity and selective pressure. These two issues are strongly related and have direct impact on the search efficiency. Two factors that directly influence these issues are often ignored: overlapping populations and fitness scaling. In this paper we address the use of overlapping populations ...

A simple trick invoking objective B-fields is employed to refine the concept of characteristic classes for twisted bundles. Then the objective stability and objective Einstein metrics are introduced and a new Hitchin-Kobayashi correspondence is established between them. As an application the SO(3)-instanton moduli space is proved to be always orientable.