{"id":"https://openalex.org/W4396843768","doi":"https://doi.org/10.1145/3589335.3651262","title":"Leveraging Knowledge-aware Methodologies for Multi-document Summarization","display_name":"Leveraging Knowledge-aware Methodologies for Multi-document Summarization","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843768","doi":"https://doi.org/10.1145/3589335.3651262"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3651262","doi":"https://doi.org/10.1145/3589335.3651262","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651262","pdf_url":null,"source":{"id":"https://openalex.org/S7407088480","display_name":"International World Wide Web Conference (WWW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3589335.3651262","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088363188","display_name":"Yutong Qu","orcid":"https://orcid.org/0000-0002-1378-8779","observed_orcids":["https://orcid.org/0000-0002-1378-8779"]},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I4405259444","https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yutong Qu","raw_affiliation_strings":["The University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1378-8779","affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088363188"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":0.6108,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68601491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1206","last_page":"1209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5156000256538391,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5156000256538391,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.46799999475479126,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.005100000184029341,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"multi-document summarization","score":0.9990000128746033},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.9900000095367432},{"id":"https://openalex.org/keywords/factual-consistency","display_name":"factual consistency","score":0.8289999961853027},{"id":"https://openalex.org/keywords/auxiliary-information","display_name":"auxiliary information","score":0.5709999799728394}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8797099590301514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370256423950195},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.5671190023422241},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5205091834068298},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.40138140320777893}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3651262","doi":"https://doi.org/10.1145/3589335.3651262","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651262","pdf_url":null,"source":{"id":"https://openalex.org/S7407088480","display_name":"International World Wide Web Conference (WWW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3651262","doi":"https://doi.org/10.1145/3589335.3651262","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651262","pdf_url":null,"source":{"id":"https://openalex.org/S7407088480","display_name":"International World Wide Web Conference (WWW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2626778328","https://openalex.org/W2759136286","https://openalex.org/W2888482885","https://openalex.org/W2892181857","https://openalex.org/W2948120406","https://openalex.org/W2981456979","https://openalex.org/W2981852735","https://openalex.org/W2982399380","https://openalex.org/W2998056485","https://openalex.org/W3104007871","https://openalex.org/W3105952014","https://openalex.org/W3141940864","https://openalex.org/W3168690788","https://openalex.org/W3175489610","https://openalex.org/W3175569474","https://openalex.org/W3200575125","https://openalex.org/W3211912523","https://openalex.org/W4300772228","https://openalex.org/W4367046742","https://openalex.org/W4385573094","https://openalex.org/W4389520465"],"related_works":["https://openalex.org/W4300772228","https://openalex.org/W4297793670","https://openalex.org/W3200575125","https://openalex.org/W3035620455","https://openalex.org/W2020237944","https://openalex.org/W199114572","https://openalex.org/W55108815","https://openalex.org/W4386566738","https://openalex.org/W4403977036","https://openalex.org/W1984364982"],"abstract_inverted_index":{"With":[0],"the":[1,18,60,66,112],"development":[2],"of":[3,9,31,42,95,111,114,117],"information":[4,10,58,82],"technology,":[5],"a":[6,43,102],"large":[7],"amount":[8],"and":[11,51,80,93,131,150,157,162],"corpora":[12],"has":[13,68],"been":[14],"incrementally":[15],"sparked":[16],"from":[17,59,83,101],"Web,":[19],"stimulating":[20],"an":[21],"increasingly":[22],"high":[23],"demand":[24],"for":[25,154],"summarizing.":[26],"Document":[27],"Summarization":[28],"is":[29,107,126],"one":[30],"Natural":[32],"Language":[33],"Processing":[34],"tasks,":[35],"which":[36],"aims":[37],"to":[38,70,127],"generate":[39],"abridged":[40],"versions":[41],"given":[44],"single":[45],"or":[46],"multiple":[47],"documents":[48],"as":[49,53,74],"concise":[50],"coherent":[52],"possible":[54],"while":[55],"preserving":[56],"salient":[57],"source":[61,88],"texts.":[62],"Recent":[63],"research":[64],"in":[65],"area":[67],"started":[69],"use":[71,128],"knowledge":[72,118,136,149,151],"graphs":[73,119],"they":[75],"can":[76],"capture":[77],"more":[78,84,159],"factual":[79],"applicable":[81],"facets":[85],"along":[86],"with":[87],"information,":[89,134],"benefiting":[90],"fact":[91],"consistency":[92],"informativeness":[94],"generated":[96],"summaries,":[97],"rather":[98],"than":[99],"just":[100],"linguistic":[103],"perspective.":[104],"However,":[105],"there":[106],"no":[108],"explicit":[109],"investigation":[110],"effects":[113],"different":[115],"kinds":[116],"on":[120],"document":[121],"summarization.":[122],"The":[123],"proposed":[124],"method":[125],"structured":[129],"informative":[130],"knowledgeable":[132],"auxiliary":[133],"especially":[135],"graphs,":[137],"into":[138],"pre-trained":[139],"summarization":[140],"models,":[141],"advancing":[142],"summary":[143],"qualities.":[144],"Expected":[145],"outcomes":[146],"are":[147],"exploring":[148],"graph":[152],"incorporation":[153],"multi-document":[155],"summarization,":[156],"achieving":[158],"informative,":[160],"coherent,":[161],"factually":[163],"consistent":[164],"summaries.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-05-13T00:00:00"}
