A novel retrieval approach reflecting variability of syntactic phrase representation
作者:Young-In Song, Kyoung-Soo Han, Sang-Bum Kim, So-Young Park, Hae-Chang Rim
摘要
In this paper, we introduce variability of syntactic phrases and propose a new retrieval approach reflecting the variability of syntactic phrase representation. With variability measure of a phrase, we can estimate how likely a phrase in a given query would appear in relevant documents and control the impact of syntactic phrases in a retrieval model. Various experimental results over different types of queries and document collections show that our retrieval model based on variability of syntactic phrases is very effective in terms of retrieval performance, especially for long natural language queries.
论文关键词:Information retrieval, Retrieval model, Structural language model, Syntactic phrase, Head-modifier pair, Weighting phrases, Variability of phrase
论文评审过程:
论文官网地址:https://doi.org/10.1007/s10844-007-0045-0