Topic-based communities have gradually become a considerable medium for netizens to
disseminate and acquire knowledge. These communities consist of entities (actual objects …

Abstract In Community Question Answering (CQA)'forums, there is typically a small fraction
of users who provide high-quality posts and earn a very high reputation status from the …

Community-based question answering platforms have attracted substantial users to share
knowledge and learn from each other. As the rapid enlargement of community-based …

Abstract Community Question Answering (CQA) has become an indispensable way for
modern people to share and acquire knowledge. It allows users to ask questions, which will …

Expert finding for question answering is a challenging problem in Community-based
Question Answering (CQA) systems such as Quora. The success of expert finding is …

Community question answering aims to connect queries and answers based on users'
community behaviors, find the most relevant solutions for newly raised questions, and …

Community question answering (CQA) has become a new paradigm for seeking and
sharing information. In CQA sites, users can ask and answer questions, and provide …

In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …

The rapid development of Community Question Answering (CQA) satisfies users' quest for
professional and personal knowledge about anything. In CQA, one central issue is to find …

In this paper, we propose a Knowledge-enhanced Hierarchical Attention for community
question answering with Multi-task learning and Adaptive learning (KHAMA). First, we …