Citation recommendation systems play an important role to alleviate the dilemma that
scholar users spend a lot of time and experiences for literature survey. With the burgeoning …

Classification is an essential task in data mining, machine learning and pattern recognition
areas. Conventional classification models focus on distinctive samples from different …

This paper studies Cumulative Citation Recommendation (CCR) for Knowledge Base
Acceleration (KBA). The CCR task aims to detect potential citations of a set of target entities …

[目的/意义] 学术文献引文推荐是指对于给定的学术文献, 自动化地为其推荐合适的引文和参考
文献. 借助于引文推荐, 用户可以在一定程度上提高撰写学术文献的效率, 降低对重要相关文献的 …

This paper explores Cumulative Citation Recommendation (CCR) for Knowledge Base
Acceleration (KBA). The CCR task aims to detect potential citations of a set of target entities …

Abstract This paper studies Cumulative Citation Recommendation (CCR)-given an entity in
Knowledge Bases, how to effectively detect its potential citations from volume text streams …

Knowledge Bases (KBs) are valuable resources of human knowledge which contribute to
many applications. However, since they are manually maintained, there is a big lag between …

Aujourd'hui, les bases de connaissances telles que Wikipedia et DBpedia représentent les
sources principales pour accéder aux informations disponibles sur une grande variété …

Most existing Knowledge Bases (KBs) are maintained manually and difficult to be kept up-to-
date. To address this problem, Cumulative Citation Recommendation (CCR) is introduced to …

Abstract Knowledge base acceleration-cumulative citation recommendation (KBA-CCR)
aims to detect citation-worthiness documents from a chronological stream corpus for a set of …