Automatically building templates for entity summary construction
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. We first develop an entity-aspect LDA model to simultaneously cluster both sentences and words into aspects. We then apply frequent subtree pattern mining on the depend...
Saved in:
Main Authors: | , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1710 http://dx.doi.org/10.1016/j.ipm.2012.03.006 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-2709 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.sis_research-27092013-03-15T10:12:03Z Automatically building templates for entity summary construction LI, Peng WANG, Yinglin JIANG, Jing In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. We first develop an entity-aspect LDA model to simultaneously cluster both sentences and words into aspects. We then apply frequent subtree pattern mining on the dependency parse trees of the clustered and labeled sentences to discover sentence patterns that well represent the aspects. Finally, we use the generated templates to construct summaries for new entities. Key features of our method include automatic grouping of semantically related sentence patterns and automatic identification of template slots that need to be filled in. Also, we implement a new sentence compression algorithm which use dependency tree instead of parser tree. We apply our method on five Wikipedia entity categories and compare our method with three baseline methods. Both quantitative evaluation based on human judgment and qualitative comparison demonstrate the effectiveness and advantages of our method. 2013-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1710 info:doi/10.1016/j.ipm.2012.03.006 http://dx.doi.org/10.1016/j.ipm.2012.03.006 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Summary template LDA Pattern mining Databases and Information Systems Numerical Analysis and Scientific Computing |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Summary template LDA Pattern mining Databases and Information Systems Numerical Analysis and Scientific Computing |
spellingShingle |
Summary template LDA Pattern mining Databases and Information Systems Numerical Analysis and Scientific Computing LI, Peng WANG, Yinglin JIANG, Jing Automatically building templates for entity summary construction |
description |
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. We first develop an entity-aspect LDA model to simultaneously cluster both sentences and words into aspects. We then apply frequent subtree pattern mining on the dependency parse trees of the clustered and labeled sentences to discover sentence patterns that well represent the aspects. Finally, we use the generated templates to construct summaries for new entities. Key features of our method include automatic grouping of semantically related sentence patterns and automatic identification of template slots that need to be filled in. Also, we implement a new sentence compression algorithm which use dependency tree instead of parser tree. We apply our method on five Wikipedia entity categories and compare our method with three baseline methods. Both quantitative evaluation based on human judgment and qualitative comparison demonstrate the effectiveness and advantages of our method. |
format |
text |
author |
LI, Peng WANG, Yinglin JIANG, Jing |
author_facet |
LI, Peng WANG, Yinglin JIANG, Jing |
author_sort |
LI, Peng |
title |
Automatically building templates for entity summary construction |
title_short |
Automatically building templates for entity summary construction |
title_full |
Automatically building templates for entity summary construction |
title_fullStr |
Automatically building templates for entity summary construction |
title_full_unstemmed |
Automatically building templates for entity summary construction |
title_sort |
automatically building templates for entity summary construction |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2013 |
url |
https://ink.library.smu.edu.sg/sis_research/1710 http://dx.doi.org/10.1016/j.ipm.2012.03.006 |
_version_ |
1770571481006211072 |