Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …

We propose strategies that couple natural language processing with deep learning to
enhance machine capability for corrosion-resistant alloy design. First, accuracy of machine …

Extensive evaluation on a large number of word embedding models for language
processing applications is conducted in this work. First, we introduce popular word …

This article introduces **ao-Shih, the first intelligent question answering bot on Chinese-
based massive open online courses (MOOCs). Question answering is critical for solving …

Multilingual question answering (MLQA) is a critical part of an accessible natural language
interface. However, current solutions demonstrate performance far below that of …

This survey presents an overview of information retrieval, natural language processing and
machine learning research that makes use of forum data, including both discussion forums …

We address the problem of finding similar historical questions that are semantically
equivalent or relevant to an input query question in community question-answering (CQA) …

Few-shot relation classification aims to predict the relation between entity pairs in unseen
sentences with a few labeled sentences. In real-world scenarios, the target domains often …

Classification of questions according to domain-agnostic class labels relies on a suitable
feature extraction process. We propose the use of phrases that is more effective than using …