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Unsupervised Multi-Granularity Summarization
Ming Zhong
, Yang Liu
, Suyu Ge
, Yuning Mao
, Yizhu Jiao
, Xingxing Zhang
, Yichong Xu
, Chenguang Zhu
, Michael Zeng
,
Jiawei Han
Information Trust Institute
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Research output
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peer-review
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Keyphrases
Multi-granularity
100%
Semantic Coverage
66%
Customization
33%
System Development
33%
Number of Events
33%
Granularity
33%
Customizable
33%
Preference-based
33%
Semantic Units
33%
User Preference
33%
Unsupervised Method
33%
Art Performance
33%
New Benchmark
33%
Different Granularity
33%
Text Summarization
33%
Document Cluster
33%
Multi-granular
33%
Abstractive
33%
Event Information
33%
Computer Science
Granularity
100%
Source Document
40%
Customisation
20%
Experimental Result
20%
User Preference
20%
Art Performance
20%
Text Summarization
20%
Unsupervised Manner
20%
Event Information
20%