Attention is an increasingly popular mechanism used in a wide range of neural
architectures. The mechanism itself has been realized in a variety of formats. However …

Ranking models lie at the heart of research on information retrieval (IR). During the past
decades, different techniques have been proposed for constructing ranking models, from …

As the use of deep learning techniques has grown across various fields over the past
decade, complaints about the opaqueness of the black-box models have increased …

Obstacles hindering the development of capsule networks for challenging NLP applications
include poor scalability to large output spaces and less reliable routing processes. In this …

Aspect-based sentiment analysis aims to determine sentiment polarities toward specific
aspect terms within the same sentence or document. Most recent studies adopted attention …

Nonfactoid question answering (QA) is one of the most extensive yet challenging
applications and research areas in natural language processing (NLP). Existing methods fall …

Learning the underlying patterns in data goes beyond instance-based generalization to
external knowledge represented in structured graphs or networks. Deep learning that …

Recently, Product Question Answering (PQA) on E-Commerce platforms has attracted
increasing attention as it can act as an intelligent online shopping assistant and improve the …

Community question answering (CQA) gains increasing popularity in both academy and
industry recently. However, the redundancy and lengthiness issues of crowdsourced …

Answer selection and knowledge base question answering (KBQA) are two important tasks
of question answering (QA) systems. Existing methods solve these two tasks separately …