Deep learning (DL) algorithms are considered as a methodology of choice for remote-
sensing image analysis over the past few years. Due to its effective applications, deep …

A large number of reading comprehension (RC) datasets has been created recently, but little
analysis has been done on whether they generalize to one another, and the extent to which …

In this paper, we propose a novel deep neural network architecture, Speech2Vec, for
learning fixed-length vector representations of audio segments excised from a speech …

Recent research has shown feasibility of an interactive pair-programming conversational
agent, but implementing such an agent poses three challenges: a lack of benchmark …

Reading strategies have been shown to improve comprehension levels, especially for
readers lacking adequate prior knowledge. Just as the process of knowledge accumulation …

Question Answering (QA) is in increasing demand as the amount of information available
online and the desire for quick access to this content grows. A common approach to QA has …

In this paper, we focus on unsupervised domain adaptation for Machine Reading
Comprehension (MRC), where the source domain has a large amount of labeled data, while …

End-to-end models have achieved impressive results on the task of automatic speech
recognition (ASR). For low-resource ASR tasks, however, labeled data can hardly satisfy the …

Abstract Machine Reading Comprehension (MRC) for question answering (QA), which aims
to answer a question given the relevant context passages, is an important way to test the …

With a large number of datasets being released and new techniques being proposed,
Question answering (QA) systems have witnessed great breakthroughs in reading …