Abstract
In this research, we explore nested or hierarchical query segmentation (An extended version of this paper is available at http://research.microsoft.com/pubs/259980/2015-msri-tr-nest-seg.pdf), where segments are defined recursively as consisting of contiguous sequences of segments or query words, as a more effective representation of a query. We design a lightweight and unsupervised nested segmentation scheme, and propose how to use the tree arising out of the nested representation of a query to improve ranking performance. We show that nested segmentation can lead to significant gains over state-of-the-art flat segmentation strategies.
This research was completed while the author was at IIT Kharagpur.
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Notes
- 1.
For all distances, when the same word appears multiple times in a query, each word instance is treated as distinct during pairwise comparisons.
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Acknowledgments
The first author was supported by Microsoft Corporation and Microsoft Research India under the Microsoft Research India PhD Fellowship Award.
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Saha Roy, R., Suresh, A., Ganguly, N., Choudhury, M. (2016). Improving Document Ranking for Long Queries with Nested Query Segmentation. In: Ferro, N., et al. Advances in Information Retrieval. ECIR 2016. Lecture Notes in Computer Science(), vol 9626. Springer, Cham. https://doi.org/10.1007/978-3-319-30671-1_67
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DOI: https://doi.org/10.1007/978-3-319-30671-1_67
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