Experiments with Query Expansion for Entity Finding

被引：1

作者：

Alarfaj, Fawaz ^{[1
]}

Kruschwitz, Udo ^{[1
]}

Fox, Chris ^{[1
]}

机构：

[1] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England

来源：

COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING (CICLING 2015), PT II | 2015年 / 9042卷

关键词：

EXPERT; MODELS;

D O I：

10.1007/978-3-319-18117-2_31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Query expansion techniques have proved to have an impact on retrieval performance across many retrieval tasks. This paper reports research on query expansion in the entity finding domain. We used a number of methods for query formulation including thesaurus-based, relevance feedback, and exploiting NLP structure. We incorporated the query expansion component as part of our entity finding pipeline and report the results of the aforementioned models on the CERC collection.

引用

页码：417 / 426

页数：10

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