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SoRTESum: A Social Context Framework for Single-Document Summarization Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Improving Document Ranking for Long Queries with Nested Query Segmentation

Authors : Rishiraj Saha Roy, Anusha Suresh, Niloy Ganguly, Monojit Choudhury

Published in: Advances in Information Retrieval

Publisher: Springer International Publishing

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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.

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Footnotes
1
For all distances, when the same word appears multiple times in a query, each word instance is treated as distinct during pairwise comparisons.
 
Literature
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2.
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Metadata
Title
Improving Document Ranking for Long Queries with Nested Query Segmentation
Authors
Rishiraj Saha Roy
Anusha Suresh
Niloy Ganguly
Monojit Choudhury
Copyright Year
2016
Publisher
Springer International Publishing
Book
Advances in Information Retrieval

Print ISBN: 978-3-319-30670-4

Electronic ISBN: 978-3-319-30671-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30671-1_67