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

2016 | OriginalPaper | Chapter

Subtopic Mining Based on Three-Level Hierarchical Search Intentions

Authors : Se-Jong Kim, Jaehun Shin, Jong-Hyeok Lee

Published in: Advances in Information Retrieval

Publisher: Springer International Publishing

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Abstract

This paper proposes a subtopic mining method based on three-level hierarchical search intentions. Various subtopic candidates are extracted from web documents using a simple pattern, and higher-level and lower-level subtopics are selected from these candidates. The selected subtopics as second-level subtopics are ranked by a proposed measure, and are expanded and re-ranked considering the characteristics of resources. Using general terms in the higher-level subtopics, we make second-level subtopic groups and generate first-level subtopics. Our method achieved better performance than a state of the art method.

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Footnotes
1
Query dimensions are groups of items extracted from the style of lists such as tables in top retrieved documents [6]. Each dimension has a ranked list of its items.
 
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Metadata
Title
Subtopic Mining Based on Three-Level Hierarchical Search Intentions
Authors
Se-Jong Kim
Jaehun Shin
Jong-Hyeok Lee
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_62