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The Dilution/Concentration conditions for cross-language information retrieval models

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成果类型:
期刊论文
作者:
Li, Bo*;Gaussier, Eric;Yang, Dan
通讯作者:
Li, Bo
作者机构:
[Li, Bo] Cent China Normal Univ, Sch Comp Sci, Wuhan, Hubei, Peoples R China.
[Gaussier, Eric] Univ Grenoble Alpes, CNRS, LIG AMA, Grenoble, France.
[Yang, Dan] China Elect Power Res Inst, Wuhan, Hubei, Peoples R China.
通讯机构:
[Li, Bo] C
Cent China Normal Univ, Sch Comp Sci, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Cross-language information retrieval;D/C condition;Information retrieval heuristic
期刊:
Information Processing & Management
ISSN:
0306-4573
年:
2018
卷:
54
期:
2
页码:
291-302
基金类别:
Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61300144]; State Language Commission of China [YB125-132]; Humanity and Social Science Foundation of Ministry of Education of China [15YJC870029]; Fundamental Research Funds for Central UniversitiesFundamental Research Funds for the Central Universities [CCNU16A06015, CCNU15A05062, CCNU17GF0005, CCNUSZ2017024]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Experimental results of cross-language information retrieval (CLIR) do not indicate why a model fails or how a model could be improved. One basic research question is thus whether it is possible to provide conditions by which one can evaluate any existing or new CLIR strategy analytically and one can improve the design of CLIR models. Inspired by the heuristics in monolingual IR, we introduce in this paper Dilution/Concentration (D/C) conditions to characterize good CLIR models based on direct intuitions under artificial settings. The conditions, derived from first principles in CLIR, generali...

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