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 crowdsourced data aggregation task, there exist conflicts in the answers provided by large
numbers of sources on the same set of questions. The most important challenge for this task …

Community Question Answering (CQA) websites, where people share expertise on open
platforms, have become large repositories of valuable knowledge. To bring the best value …

Expert finding for question answering is a challenging problem in community-based
question answering (CQA) systems, arising in many real applications such as question …

Community question answering (CQA) represents the type of Web applications where
people can exchange knowledge via asking and answering questions. One significant …

We consider the problem of recommending comment-worthy articles such as news and blog-
posts. An article is defined to be comment-worthy for a particular user if that user is …

Several challenging issues have yet to be jointly addressed in the recommendation of
experts for community question answering, including dynamicity, comprehensive profiling …

Few-shot question answering (QA) aims at precisely discovering answers to a set of
questions from context passages while only a few training samples are available. Although …

A common task in many political institutions (ie Parliament) is to find politicians who are
experts in a particular field. In order to tackle this problem, the first step is to obtain politician …

Abstract Community Question Answering (CQA) sites facilitate users to ask questions and
get answered by fellow users interested in the topic of the question. A vast number of …