{"id":"https://openalex.org/W1969743400","doi":"https://doi.org/10.1145/1149290.1151099","title":"One story, one flow","display_name":"One story, one flow","publication_year":2006,"publication_date":"2006-07-01","ids":{"openalex":"https://openalex.org/W1969743400","doi":"https://doi.org/10.1145/1149290.1151099","mag":"1969743400"},"language":"en","primary_location":{"id":"doi:10.1145/1149290.1151099","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1149290.1151099","pdf_url":null,"source":{"id":"https://openalex.org/S200945739","display_name":"ACM Transactions on Speech and Language Processing","issn_l":"1550-4875","issn":["1550-4875","1550-4883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Speech and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065856469","display_name":"Pascale Fung","orcid":"https://orcid.org/0000-0002-0628-7132"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pascale Fung","raw_affiliation_strings":["Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong","[Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong]","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051682329","display_name":"Grace Ngai","orcid":"https://orcid.org/0000-0002-2027-168X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Grace Ngai","raw_affiliation_strings":["Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5467,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.95328655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":"2","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9797999858856201,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8787072896957397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8591110706329346},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.7544221878051758},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6909610033035278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6489179730415344},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5770273208618164},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.43266889452934265},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4295191168785095},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4266805946826935},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.39534619450569153}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8787072896957397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8591110706329346},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.7544221878051758},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6909610033035278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6489179730415344},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5770273208618164},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.43266889452934265},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4295191168785095},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4266805946826935},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.39534619450569153},{"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},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1149290.1151099","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1149290.1151099","pdf_url":null,"source":{"id":"https://openalex.org/S200945739","display_name":"ACM Transactions on Speech and Language Processing","issn_l":"1550-4875","issn":["1550-4875","1550-4883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Speech and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1574901103","https://openalex.org/W1588495139","https://openalex.org/W1977593346","https://openalex.org/W2015933299","https://openalex.org/W2032607052","https://openalex.org/W2033026043","https://openalex.org/W2034721576","https://openalex.org/W2048648518","https://openalex.org/W2061271742","https://openalex.org/W2067306365","https://openalex.org/W2098283414","https://openalex.org/W2100873065","https://openalex.org/W2101390659","https://openalex.org/W2102997946","https://openalex.org/W2113110240","https://openalex.org/W2118370253","https://openalex.org/W2125489263","https://openalex.org/W2128672521","https://openalex.org/W2150071570","https://openalex.org/W2212340752","https://openalex.org/W2593713917","https://openalex.org/W2788850978","https://openalex.org/W2949496004","https://openalex.org/W3193260960","https://openalex.org/W4247460730","https://openalex.org/W4248923238","https://openalex.org/W6674877832","https://openalex.org/W6688746189"],"related_works":["https://openalex.org/W2419010541","https://openalex.org/W2549526631","https://openalex.org/W2562060829","https://openalex.org/W3212242574","https://openalex.org/W4362598702","https://openalex.org/W4316012698","https://openalex.org/W4287887250","https://openalex.org/W4286233511","https://openalex.org/W3103417625","https://openalex.org/W2359001871"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,28,55,62,76,164,193,198],"multidocument,":[4],"multilingual,":[5],"theme-based":[6],"summarization":[7,18],"system":[8],"based":[9],"on":[10],"modeling":[11],"text":[12,47,185],"cohesion":[13,48,186],"(story":[14],"flow).":[15],"Conventional":[16],"extractive":[17],"systems":[19],"which":[20],"pick":[21],"out":[22],"salient":[23],"sentences":[24],"to":[25,54,61,106,178,196],"include":[26],"in":[27,71],"summary":[29],"often":[30],"disregard":[31],"any":[32],"flow":[33,82],"or":[34],"sequence":[35],"that":[36,44,181],"might":[37],"exist":[38],"between":[39],"these":[40],"sentences.":[41,210],"We":[42,89,130,161],"argue":[43],"such":[45],"inherent":[46],"exists":[49],"and":[50,58,70,80,86,115,135,138,140,144,155],"is":[51,104,176],"(1)":[52],"specific":[53,60],"particular":[56,63],"story":[57,78,97,132],"(2)":[59],"language.":[64],"Documents":[65],"within":[66,134,139],"the":[67,72,117],"same":[68,73],"story,":[69,152],"language,":[74,157],"share":[75],"common":[77],"flow,":[79],"this":[81],"differs":[83],"across":[84,87,136,141],"stories,":[85],"languages.":[88],"propose":[90,163],"using":[91],"Hidden":[92,121],"Markov":[93,122],"Models":[94,124],"(HMMs)":[95],"as":[96],"models.":[98],"An":[99],"unsupervised":[100],"segmental":[101],"K-means":[102],"method":[103,190],"used":[105],"iteratively":[107],"cluster":[108],"multiple":[109,202],"documents":[110,203],"into":[111],"different":[112],"topics":[113],"(stories)":[114],"learn":[116],"parameters":[118],"of":[119,173],"parallel":[120],"Story":[123],"(HMSM),":[125],"one":[126,153,158],"for":[127,168,201],"each":[128],"story.":[129],"compare":[131],"models":[133],"stories":[137],"languages":[142],"(English":[143],"Chinese).":[145],"The":[146,171],"experimental":[147],"results":[148],"support":[149],"our":[150,174],"\u201cone":[151,156],"flow\u201d":[154,159],"hypotheses.":[160],"also":[162,191],"Na\u00efve":[165],"Bayes":[166],"classifier":[167],"document":[169],"summarization.":[170],"performance":[172],"summarizer":[175],"superior":[177],"conventional":[179],"methods":[180],"do":[182],"not":[183],"incorporate":[184],"information.":[187],"Our":[188],"HMSM":[189],"provides":[192],"simple":[194],"way":[195],"compile":[197],"single":[199],"metasummary":[200],"from":[204],"individual":[205],"summaries":[206],"via":[207],"state":[208],"labeled":[209]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
