TY - GEN
T1 - Collaborative ranking
T2 - Conference on Empirical Methods in Natural Language Processing, EMNLP 2011
AU - Chen, Zheng
AU - Ji, Heng
PY - 2011
Y1 - 2011
N2 - In this paper, we present a new ranking scheme, collaborative ranking (CR). In contrast to traditional non-collaborative ranking scheme which solely relies on the strengths of isolated queries and one stand-alone ranking algorithm, the new scheme integrates the strengths from multiple collaborators of a query and the strengths from multiple ranking algorithms. We elaborate three specific forms of collaborative ranking, namely, micro collaborative ranking (MiCR), macro collaborative ranking (MaCR) and micro-macro collaborative ranking (MiMaCR). Experiments on entity linking task show that our proposed scheme is indeed effective and promising.
AB - In this paper, we present a new ranking scheme, collaborative ranking (CR). In contrast to traditional non-collaborative ranking scheme which solely relies on the strengths of isolated queries and one stand-alone ranking algorithm, the new scheme integrates the strengths from multiple collaborators of a query and the strengths from multiple ranking algorithms. We elaborate three specific forms of collaborative ranking, namely, micro collaborative ranking (MiCR), macro collaborative ranking (MaCR) and micro-macro collaborative ranking (MiMaCR). Experiments on entity linking task show that our proposed scheme is indeed effective and promising.
UR - http://www.scopus.com/inward/record.url?scp=80053223844&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053223844&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80053223844
SN - 1937284115
SN - 9781937284114
T3 - EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
SP - 771
EP - 781
BT - EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
Y2 - 27 July 2011 through 31 July 2011
ER -