A New Approach for Multi-Document Update Summarization View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-07

AUTHORS

Chong Long, Min-Lie Huang, Xiao-Yan Zhu, Ming Li

ABSTRACT

Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper describes a novel approach for multi-document update summarization. The best summary is defined to be the one which has the minimum information distance to the entire document set. The best update summary has the minimum conditional information distance to a document cluster given that a prior document cluster has already been read. Experiments on the DUC/TAC 2007 to 2009 datasets (http://duc.nist.gov/, http://www.nist.gov/tac/) have proved that our method closely correlates with the human summaries and outperforms other programs such as LexRank in many categories under the ROUGE evaluation criterion. More... »

PAGES

739-749

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11390-010-9361-x

DOI

http://dx.doi.org/10.1007/s11390-010-9361-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039954563


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tsinghua University", 
          "id": "https://www.grid.ac/institutes/grid.12527.33", 
          "name": [
            "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Long", 
        "givenName": "Chong", 
        "id": "sg:person.016323300540.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016323300540.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tsinghua University", 
          "id": "https://www.grid.ac/institutes/grid.12527.33", 
          "name": [
            "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Min-Lie", 
        "id": "sg:person.012400674023.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012400674023.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tsinghua University", 
          "id": "https://www.grid.ac/institutes/grid.12527.33", 
          "name": [
            "State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhu", 
        "givenName": "Xiao-Yan", 
        "id": "sg:person.010317723315.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010317723315.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Waterloo", 
          "id": "https://www.grid.ac/institutes/grid.46078.3d", 
          "name": [
            "School of Computer Science, University of Waterloo, N2L 3G1, Waterloo, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Ming", 
        "id": "sg:person.0621576316.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621576316.79"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/bioinformatics/17.2.149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009738168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1281192.1281285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010331285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/215206.215333", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014458301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1233912.1233913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018944240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1458082.1458201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024887635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1025044546", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-2606-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025044546", 
          "https://doi.org/10.1007/978-1-4757-2606-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-2606-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025044546", 
          "https://doi.org/10.1007/978-1-4757-2606-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ipm.2003.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026118813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1458082.1458242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035549514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3115/1073445.1073465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036071780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.88.048702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039739390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.88.048702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039739390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/290941.291025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040730716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0898-1221(97)90213-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053644000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0898-1221(97)90213-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053644000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/scientificamerican0603-76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056544393", 
          "https://doi.org/10.1038/scientificamerican0603-76"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/18.681318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061100692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tit.1977.1055714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061647931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tit.2004.838101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061650298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tkde.2007.48", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061661815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1147/rd.22.0159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063180666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3115/1613715.1613811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099150867"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-07", 
    "datePublishedReg": "2010-07-01", 
    "description": "Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper describes a novel approach for multi-document update summarization. The best summary is defined to be the one which has the minimum information distance to the entire document set. The best update summary has the minimum conditional information distance to a document cluster given that a prior document cluster has already been read. Experiments on the DUC/TAC 2007 to 2009 datasets (http://duc.nist.gov/, http://www.nist.gov/tac/) have proved that our method closely correlates with the human summaries and outperforms other programs such as LexRank in many categories under the ROUGE evaluation criterion.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11390-010-9361-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1320078", 
        "issn": [
          "1666-6046", 
          "1666-6038"
        ], 
        "name": "Journal of Computer Science and Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "A New Approach for Multi-Document Update Summarization", 
    "pagination": "739-749", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "be53b72477eb290d2e8d65def225fea47676307711341cdd1bfb4452ffaafa44"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11390-010-9361-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039954563"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11390-010-9361-x", 
      "https://app.dimensions.ai/details/publication/pub.1039954563"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113664_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11390-010-9361-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11390-010-9361-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11390-010-9361-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11390-010-9361-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11390-010-9361-x'


 

This table displays all metadata directly associated to this object as RDF triples.

146 TRIPLES      21 PREDICATES      47 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11390-010-9361-x schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Nd1fba8f812494216a31ead10b13197dd
4 schema:citation sg:pub.10.1007/978-1-4757-2606-0
5 sg:pub.10.1038/scientificamerican0603-76
6 https://app.dimensions.ai/details/publication/pub.1025044546
7 https://doi.org/10.1016/j.ipm.2003.10.006
8 https://doi.org/10.1016/s0898-1221(97)90213-3
9 https://doi.org/10.1093/bioinformatics/17.2.149
10 https://doi.org/10.1103/physrevlett.88.048702
11 https://doi.org/10.1109/18.681318
12 https://doi.org/10.1109/tit.1977.1055714
13 https://doi.org/10.1109/tit.2004.838101
14 https://doi.org/10.1109/tkde.2007.48
15 https://doi.org/10.1145/1233912.1233913
16 https://doi.org/10.1145/1281192.1281285
17 https://doi.org/10.1145/1458082.1458201
18 https://doi.org/10.1145/1458082.1458242
19 https://doi.org/10.1145/215206.215333
20 https://doi.org/10.1145/290941.291025
21 https://doi.org/10.1147/rd.22.0159
22 https://doi.org/10.3115/1073445.1073465
23 https://doi.org/10.3115/1613715.1613811
24 schema:datePublished 2010-07
25 schema:datePublishedReg 2010-07-01
26 schema:description Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper describes a novel approach for multi-document update summarization. The best summary is defined to be the one which has the minimum information distance to the entire document set. The best update summary has the minimum conditional information distance to a document cluster given that a prior document cluster has already been read. Experiments on the DUC/TAC 2007 to 2009 datasets (http://duc.nist.gov/, http://www.nist.gov/tac/) have proved that our method closely correlates with the human summaries and outperforms other programs such as LexRank in many categories under the ROUGE evaluation criterion.
27 schema:genre research_article
28 schema:inLanguage en
29 schema:isAccessibleForFree false
30 schema:isPartOf N58d8cb7197384bd489db5b607b8c15f9
31 Nead842e4b49042a9b19ce0837a2b4987
32 sg:journal.1320078
33 schema:name A New Approach for Multi-Document Update Summarization
34 schema:pagination 739-749
35 schema:productId N1e8fab48ac8b4c489b93833cb80faab9
36 N20d72ea0ec574a74b37789a2d37962b0
37 Na208dc20995b48279923129bc742214f
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039954563
39 https://doi.org/10.1007/s11390-010-9361-x
40 schema:sdDatePublished 2019-04-11T10:34
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher N39bd1c8dc0b14562b2d8fe88bcaaeafc
43 schema:url http://link.springer.com/10.1007%2Fs11390-010-9361-x
44 sgo:license sg:explorer/license/
45 sgo:sdDataset articles
46 rdf:type schema:ScholarlyArticle
47 N1e8fab48ac8b4c489b93833cb80faab9 schema:name doi
48 schema:value 10.1007/s11390-010-9361-x
49 rdf:type schema:PropertyValue
50 N20d72ea0ec574a74b37789a2d37962b0 schema:name dimensions_id
51 schema:value pub.1039954563
52 rdf:type schema:PropertyValue
53 N39bd1c8dc0b14562b2d8fe88bcaaeafc schema:name Springer Nature - SN SciGraph project
54 rdf:type schema:Organization
55 N50141d03e0a34e41b3b09562bbe2de61 rdf:first sg:person.012400674023.95
56 rdf:rest Ne25026a1b6544eaab9cc4e7f45d4e105
57 N58d8cb7197384bd489db5b607b8c15f9 schema:volumeNumber 25
58 rdf:type schema:PublicationVolume
59 Na208dc20995b48279923129bc742214f schema:name readcube_id
60 schema:value be53b72477eb290d2e8d65def225fea47676307711341cdd1bfb4452ffaafa44
61 rdf:type schema:PropertyValue
62 Nc40dcc8eca074ed6840cea90004ceb66 rdf:first sg:person.0621576316.79
63 rdf:rest rdf:nil
64 Nd1fba8f812494216a31ead10b13197dd rdf:first sg:person.016323300540.57
65 rdf:rest N50141d03e0a34e41b3b09562bbe2de61
66 Ne25026a1b6544eaab9cc4e7f45d4e105 rdf:first sg:person.010317723315.12
67 rdf:rest Nc40dcc8eca074ed6840cea90004ceb66
68 Nead842e4b49042a9b19ce0837a2b4987 schema:issueNumber 4
69 rdf:type schema:PublicationIssue
70 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
71 schema:name Information and Computing Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
74 schema:name Information Systems
75 rdf:type schema:DefinedTerm
76 sg:journal.1320078 schema:issn 1666-6038
77 1666-6046
78 schema:name Journal of Computer Science and Technology
79 rdf:type schema:Periodical
80 sg:person.010317723315.12 schema:affiliation https://www.grid.ac/institutes/grid.12527.33
81 schema:familyName Zhu
82 schema:givenName Xiao-Yan
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010317723315.12
84 rdf:type schema:Person
85 sg:person.012400674023.95 schema:affiliation https://www.grid.ac/institutes/grid.12527.33
86 schema:familyName Huang
87 schema:givenName Min-Lie
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012400674023.95
89 rdf:type schema:Person
90 sg:person.016323300540.57 schema:affiliation https://www.grid.ac/institutes/grid.12527.33
91 schema:familyName Long
92 schema:givenName Chong
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016323300540.57
94 rdf:type schema:Person
95 sg:person.0621576316.79 schema:affiliation https://www.grid.ac/institutes/grid.46078.3d
96 schema:familyName Li
97 schema:givenName Ming
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621576316.79
99 rdf:type schema:Person
100 sg:pub.10.1007/978-1-4757-2606-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025044546
101 https://doi.org/10.1007/978-1-4757-2606-0
102 rdf:type schema:CreativeWork
103 sg:pub.10.1038/scientificamerican0603-76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056544393
104 https://doi.org/10.1038/scientificamerican0603-76
105 rdf:type schema:CreativeWork
106 https://app.dimensions.ai/details/publication/pub.1025044546 schema:CreativeWork
107 https://doi.org/10.1016/j.ipm.2003.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026118813
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/s0898-1221(97)90213-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053644000
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1093/bioinformatics/17.2.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009738168
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1103/physrevlett.88.048702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039739390
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1109/18.681318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061100692
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1109/tit.1977.1055714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061647931
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1109/tit.2004.838101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061650298
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1109/tkde.2007.48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661815
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1145/1233912.1233913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018944240
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1145/1281192.1281285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010331285
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1145/1458082.1458201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024887635
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1145/1458082.1458242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035549514
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1145/215206.215333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014458301
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1145/290941.291025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040730716
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1147/rd.22.0159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063180666
136 rdf:type schema:CreativeWork
137 https://doi.org/10.3115/1073445.1073465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036071780
138 rdf:type schema:CreativeWork
139 https://doi.org/10.3115/1613715.1613811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099150867
140 rdf:type schema:CreativeWork
141 https://www.grid.ac/institutes/grid.12527.33 schema:alternateName Tsinghua University
142 schema:name State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China
143 rdf:type schema:Organization
144 https://www.grid.ac/institutes/grid.46078.3d schema:alternateName University of Waterloo
145 schema:name School of Computer Science, University of Waterloo, N2L 3G1, Waterloo, Canada
146 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...