{"id":"https://openalex.org/W2964863929","doi":"https://doi.org/10.24963/ijcai.2019/729","title":"Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation","display_name":"Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2964863929","doi":"https://doi.org/10.24963/ijcai.2019/729","mag":"2964863929"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/729","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/729","pdf_url":"https://www.ijcai.org/proceedings/2019/0729.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0729.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101866601","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0003-1266-048X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wei","raw_affiliation_strings":["College of Computer Science, Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001909797","display_name":"Honglei Guo","orcid":"https://orcid.org/0000-0002-1485-1987"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglei Guo","raw_affiliation_strings":["IBM Research - China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037600606","display_name":"Jinmao Wei","orcid":"https://orcid.org/0000-0003-0809-6687"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmao Wei","raw_affiliation_strings":["College of Computer Science, Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010426520","display_name":"Zhong Su","orcid":"https://orcid.org/0000-0003-2303-9787"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Su","raw_affiliation_strings":["IBM Research - China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - China","institution_ids":["https://openalex.org/I4210126794"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1446,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5752747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5247","last_page":"5254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10260","display_name":"Software Engineering Research","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.8132567405700684},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6537477970123291},{"id":"https://openalex.org/keywords/mind-map","display_name":"Mind map","score":0.6449126601219177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301193833351135},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5896478295326233},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5706002712249756},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5637096166610718},{"id":"https://openalex.org/keywords/semantic-mapping","display_name":"Semantic mapping","score":0.5605794191360474},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5583589673042297},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.42868131399154663},{"id":"https://openalex.org/keywords/semantic-network","display_name":"Semantic network","score":0.41186976432800293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132567405700684},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6537477970123291},{"id":"https://openalex.org/C2779808312","wikidata":"https://www.wikidata.org/wiki/Q192833","display_name":"Mind map","level":2,"score":0.6449126601219177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301193833351135},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5896478295326233},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5706002712249756},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5637096166610718},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.5605794191360474},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5583589673042297},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.42868131399154663},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.41186976432800293},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/729","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/729","pdf_url":"https://www.ijcai.org/proceedings/2019/0729.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/729","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/729","pdf_url":"https://www.ijcai.org/proceedings/2019/0729.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964863929.pdf","grobid_xml":"https://content.openalex.org/works/W2964863929.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1545005244","https://openalex.org/W1557361834","https://openalex.org/W1614298861","https://openalex.org/W1750149299","https://openalex.org/W1764777819","https://openalex.org/W1817600527","https://openalex.org/W1946739883","https://openalex.org/W1986115695","https://openalex.org/W1992035102","https://openalex.org/W2003468002","https://openalex.org/W2011374944","https://openalex.org/W2041632249","https://openalex.org/W2131494463","https://openalex.org/W2133286915","https://openalex.org/W2146246571","https://openalex.org/W2153579005","https://openalex.org/W2154652894","https://openalex.org/W2211192759","https://openalex.org/W2280395961","https://openalex.org/W2399101711","https://openalex.org/W2593833795","https://openalex.org/W2597655663","https://openalex.org/W2756386045","https://openalex.org/W2785324980","https://openalex.org/W2949615363","https://openalex.org/W2950577311","https://openalex.org/W2951777553","https://openalex.org/W3101913037","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4384081058","https://openalex.org/W2902486556","https://openalex.org/W55140918","https://openalex.org/W4385720110","https://openalex.org/W2786127644","https://openalex.org/W2964863929","https://openalex.org/W2586505198","https://openalex.org/W2024142982","https://openalex.org/W2273078229","https://openalex.org/W100833983"],"abstract_inverted_index":{"A":[0,98],"mind-map":[1,66,116],"is":[2,47,74,101,117],"a":[3,14,28,31,42,61,70],"diagram":[4],"used":[5],"to":[6,10,19,30,48,76,90,104,110],"represent":[7],"ideas":[8,25],"linked":[9],"and":[11,24,86],"arranged":[12],"around":[13],"central":[15],"concept.":[16],"It\u2019s":[17],"easier":[18],"visually":[20],"access":[21],"the":[22,35,50,78,92,106,112,121,125,134,144,148,153],"knowledge":[23],"by":[26],"converting":[27],"text":[29],"mind-map.":[32],"However,":[33],"highlighting":[34],"semantic":[36,94,150],"skeleton":[37],"of":[38,152],"an":[39],"article":[40],"remains":[41],"challenge.":[43],"The":[44,114,139],"key":[45,122],"issue":[46],"detect":[49,77],"relations":[51,79,95],"amongst":[52],"concepts":[53],"beyond":[54],"intra-sentence.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"multi-grained":[62],"framework":[63],"for":[64],"automatic":[65],"generation.":[67],"That":[68],"is,":[69],"novel":[71],"neural":[72],"network":[73,89],"taken":[75],"at":[80],"first,":[81],"which":[82],"employs":[83],"multi-hop":[84],"self-attention":[85],"gated":[87],"recurrence":[88],"reveal":[91,147],"directed":[93],"via":[96],"sentences.":[97,127],"recursive":[99],"algorithm":[100],"then":[102],"designed":[103],"select":[105],"most":[107],"salient":[108,126],"sentences":[109],"constitute":[111],"hierarchy.":[113],"human-like":[115],"automatically":[118],"constructed":[119],"with":[120,136],"phrases":[123],"in":[124],"Promising":[128],"results":[129],"have":[130],"been":[131],"achieved":[132],"on":[133],"comparison":[135],"manual":[137],"mind-maps.":[138],"case":[140],"studies":[141],"demonstrate":[142],"that":[143],"generated":[145],"mind-maps":[146],"underlying":[149],"structures":[151],"articles.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
