TY - GEN
T1 - Cold start cumulative citation recommendation for knowledge base acceleration
AU - Wang, Jingang
AU - Jiang, Jingtian
AU - Liao, Lejian
AU - Song, Dandan
AU - Zhang, Zhiwei
AU - Lin, Chin Yew
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - This paper studies cold start Cumulative Citation Recommen dation (CCR) for Knowledge Base Acceleration (KBA), whose objective is to detect potential citations for target entities without existing KB entries from a volume of stream documents. Unlike routine CCR, in which target entities are identified by a reference KB, cold start CCR is more common since lots of less popular entities do not have any KB entry in practice. We propose a two-step strategy to address this problem: (1) event-based sentence clustering and (2) document ranking. In addition, to build effective rankers, we develop three kinds of features based on the clustering results: time range, local profile and action pattern. Empirical studies on TREC-KBA-2014 dataset demonstrate the effectiveness of the proposed strategy and the novel features.
AB - This paper studies cold start Cumulative Citation Recommen dation (CCR) for Knowledge Base Acceleration (KBA), whose objective is to detect potential citations for target entities without existing KB entries from a volume of stream documents. Unlike routine CCR, in which target entities are identified by a reference KB, cold start CCR is more common since lots of less popular entities do not have any KB entry in practice. We propose a two-step strategy to address this problem: (1) event-based sentence clustering and (2) document ranking. In addition, to build effective rankers, we develop three kinds of features based on the clustering results: time range, local profile and action pattern. Empirical studies on TREC-KBA-2014 dataset demonstrate the effectiveness of the proposed strategy and the novel features.
UR - http://www.scopus.com/inward/record.url?scp=84962599289&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-30671-1_63
DO - 10.1007/978-3-319-30671-1_63
M3 - Conference contribution
AN - SCOPUS:84962599289
SN - 9783319306704
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 748
EP - 753
BT - Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Proceedings
A2 - Moens, Marie-Francine
A2 - Ferro, Nicola
A2 - Silvello, Gianmaria
A2 - di Nunzio, Giorgio Maria
A2 - Hauff, Claudia
A2 - Crestani, Fabio
A2 - Mothe, Josiane
A2 - Silvestri, Fabrizio
PB - Springer Verlag
T2 - 38th European Conference on Information Retrieval Research, ECIR 2016
Y2 - 20 March 2016 through 23 March 2016
ER -