Abstract
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.
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Alarfaj, F., Kruschwitz, U., Fox, C. (2015). Experiments with Query Expansion for Entity Finding. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2015. Lecture Notes in Computer Science(), vol 9042. Springer, Cham. https://doi.org/10.1007/978-3-319-18117-2_31
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DOI: https://doi.org/10.1007/978-3-319-18117-2_31
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