{"id":"https://openalex.org/W2136716480","doi":"https://doi.org/10.18653/v1/d13-1127","title":"Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction","display_name":"Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2136716480","doi":"https://doi.org/10.18653/v1/d13-1127","mag":"2136716480"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1127","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1127","pdf_url":"https://aclanthology.org/D13-1127.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1127.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047761481","display_name":"Shize Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shize Xu","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406237","display_name":"Shanshan Wang","orcid":"https://orcid.org/0000-0002-0575-6523"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456377","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0003-1585-0801"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047761481"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.8286,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78244334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1281","last_page":"1291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9940999746322632,"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":0.8249385356903076},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6064053773880005},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5642822980880737},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5480464100837708},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.48801031708717346},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.4751558005809784},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45423099398612976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40938496589660645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3322230577468872},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32063722610473633},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0783776342868805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8249385356903076},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6064053773880005},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5642822980880737},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5480464100837708},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.48801031708717346},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.4751558005809784},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45423099398612976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40938496589660645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3322230577468872},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32063722610473633},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0783776342868805},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d13-1127","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1127","pdf_url":"https://aclanthology.org/D13-1127.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.593.1995","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.1995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D13/D13-1127.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1127","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1127","pdf_url":"https://aclanthology.org/D13-1127.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1828425977","display_name":null,"funder_award_id":"973 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3757118432","display_name":null,"funder_award_id":"61370054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4354157490","display_name":null,"funder_award_id":"2014CB340405","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2136716480.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W311829520","https://openalex.org/W1584391167","https://openalex.org/W1750831471","https://openalex.org/W1968532429","https://openalex.org/W1975579663","https://openalex.org/W1977884995","https://openalex.org/W1980813323","https://openalex.org/W2012179416","https://openalex.org/W2012833704","https://openalex.org/W2034771957","https://openalex.org/W2041404167","https://openalex.org/W2056952330","https://openalex.org/W2069207503","https://openalex.org/W2083841623","https://openalex.org/W2094661073","https://openalex.org/W2103065218","https://openalex.org/W2103404183","https://openalex.org/W2131004098","https://openalex.org/W2135495419","https://openalex.org/W2142004338","https://openalex.org/W2147674242","https://openalex.org/W2147717514","https://openalex.org/W2148374900","https://openalex.org/W2252173290","https://openalex.org/W2397770138"],"related_works":["https://openalex.org/W2348886128","https://openalex.org/W2388067091","https://openalex.org/W2367656648","https://openalex.org/W2350200549","https://openalex.org/W2362132076","https://openalex.org/W2965396777","https://openalex.org/W2389168924","https://openalex.org/W2067294484","https://openalex.org/W4280593102","https://openalex.org/W2170000670"],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,58,70],"Web2.0":[4],"leads":[5],"to":[6,19,53,80,128],"significant":[7],"information":[8],"redundancy.":[9],"Espe-cially":[10],"for":[11],"a":[12,25,50,75],"complex":[13,30],"news":[14,39],"event,":[15],"it":[16],"is":[17,78,113],"diffi-cult":[18],"understand":[20],"its":[21],"general":[22],"idea":[23],"within":[24],"single":[26],"coherent":[27],"picture.":[28],"A":[29],"event":[31],"of-ten":[32],"contains":[33],"branches,":[34],"intertwining":[35],"narratives":[36],"and":[37,61,99,116,125],"side":[38],"which":[40,119],"are":[41],"all":[42,82,96],"called":[43],"storylines.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,64,94],"propose":[49],"novel":[51],"solution":[52],"tackle":[54],"the":[55,90,101],"challenging":[56],"problem":[57],"storylines":[59,84],"extraction":[60],"reconstruction.":[62],"Specifically,":[63],"first":[65],"investigate":[66],"two":[67],"requisite":[68],"properties":[69,88],"an":[71],"ideal":[72],"storyline.":[73],"Then":[74],"unified":[76],"algorithm":[77],"devised":[79],"extract":[81],"effective":[83],"by":[85],"optimizing":[86],"these":[87],"at":[89],"same":[91],"time.":[92],"Finally,":[93],"reconstruct":[95],"extracted":[97],"lines":[98],"generate":[100],"high-quality":[102],"story":[103],"map.":[104],"Exper-iments":[105],"on":[106],"real-world":[107],"datasets":[108],"show":[109],"that":[110],"our":[111],"method":[112],"quite":[114],"efficient":[115],"highly":[117],"compet-itive,":[118],"can":[120],"bring":[121],"about":[122],"quicker,":[123],"clearer":[124],"deeper":[126],"comprehension":[127],"readers.":[129],"1":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
