{"id":"https://openalex.org/W2069667724","doi":"https://doi.org/10.1145/2166966.2166999","title":"Summarizing sporting events using twitter","display_name":"Summarizing sporting events using twitter","publication_year":2012,"publication_date":"2012-02-14","ids":{"openalex":"https://openalex.org/W2069667724","doi":"https://doi.org/10.1145/2166966.2166999","mag":"2069667724"},"language":"en","primary_location":{"id":"doi:10.1145/2166966.2166999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2166966.2166999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM international conference on Intelligent User Interfaces","raw_type":"proceedings-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/A5081566660","display_name":"Jeffrey Nichols","orcid":"https://orcid.org/0000-0002-6880-8546"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffrey Nichols","raw_affiliation_strings":["IBM Research - Almaden, San Jose, California, United States","[IBM Research - Almaden, San Jose, California, United States]"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, California, United States","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"[IBM Research - Almaden, San Jose, California, United States]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111769572","display_name":"Jalal Mahmud","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jalal Mahmud","raw_affiliation_strings":["IBM Research - Almaden, San Jose, California, United States","[IBM Research - Almaden, San Jose, California, United States]"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, California, United States","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"[IBM Research - Almaden, San Jose, California, United States]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031814046","display_name":"Clemens Drews","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clemens Drews","raw_affiliation_strings":["IBM Research - Almaden, San Jose, California, United States","[IBM Research - Almaden, San Jose, California, United States]"],"affiliations":[{"raw_affiliation_string":"IBM Research - Almaden, San Jose, California, United States","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"[IBM Research - Almaden, San Jose, California, United States]","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081566660"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":66.791,"has_fulltext":false,"cited_by_count":242,"citation_normalized_percentile":{"value":0.99905053,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9955000281333923,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9116455316543579},{"id":"https://openalex.org/keywords/grammaticality","display_name":"Grammaticality","score":0.8958331346511841},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.8196184039115906},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.8189489841461182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7943480610847473},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6520107984542847},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6280565857887268},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5060669779777527},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4845651686191559},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.47937873005867004},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.4698708653450012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4551342725753784},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.450151652097702},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3324519991874695},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33208340406417847},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23582568764686584},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.10350710153579712},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0799252986907959},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07722711563110352}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9116455316543579},{"id":"https://openalex.org/C2779525943","wikidata":"https://www.wikidata.org/wiki/Q1187300","display_name":"Grammaticality","level":3,"score":0.8958331346511841},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.8196184039115906},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.8189489841461182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7943480610847473},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6520107984542847},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6280565857887268},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5060669779777527},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4845651686191559},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.47937873005867004},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.4698708653450012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4551342725753784},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.450151652097702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3324519991874695},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33208340406417847},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23582568764686584},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.10350710153579712},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0799252986907959},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07722711563110352},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2166966.2166999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2166966.2166999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM international conference on Intelligent User Interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.229.3202","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.229.3202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jeffreynichols.com/papers/summary-iui2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W37473190","https://openalex.org/W1534625513","https://openalex.org/W1901600440","https://openalex.org/W2029516281","https://openalex.org/W2036352360","https://openalex.org/W2036737894","https://openalex.org/W2037187099","https://openalex.org/W2037516721","https://openalex.org/W2050237388","https://openalex.org/W2069557380","https://openalex.org/W2098162425","https://openalex.org/W2109463015","https://openalex.org/W2109857088","https://openalex.org/W2111845144","https://openalex.org/W2112497398","https://openalex.org/W2124499489","https://openalex.org/W2128721751","https://openalex.org/W2129304007","https://openalex.org/W2129468719","https://openalex.org/W2140427797","https://openalex.org/W2154652894","https://openalex.org/W2160954441","https://openalex.org/W2165612380","https://openalex.org/W2166322082","https://openalex.org/W2222139048","https://openalex.org/W2397499413","https://openalex.org/W2755111576","https://openalex.org/W6688738766"],"related_works":["https://openalex.org/W2552539366","https://openalex.org/W2485883311","https://openalex.org/W2987607708","https://openalex.org/W2153756419","https://openalex.org/W118009051","https://openalex.org/W3125565408","https://openalex.org/W2069667724","https://openalex.org/W2185451889","https://openalex.org/W4312913528","https://openalex.org/W3131600643"],"abstract_inverted_index":{"The":[0],"status":[1,58,74,101],"updates":[2,31,59,102],"posted":[3],"to":[4,78,93,115,134],"social":[5],"networks,":[6],"such":[7,26,67],"as":[8,27,62,68],"Twitter":[9,61],"and":[10,22,35,86,118,124,138,142],"Facebook,":[11],"contain":[12],"a":[13,50,63,87],"myriad":[14],"of":[15,53,73,100,129,144],"information":[16],"about":[17,38],"what":[18],"people":[19],"are":[20,32,76,132],"doing":[21],"watching.":[23],"During":[24],"events,":[25],"sports":[28],"games,":[29],"many":[30],"sent":[33],"describing":[34,103],"expressing":[36],"opinions":[37],"the":[39,71,80,98,119,127,135,140,145],"event.":[40,109],"In":[41],"this":[42],"paper,":[43],"we":[44],"describe":[45],"an":[46,54,84,108],"algorithm":[47,113,137],"that":[48,126],"generates":[49],"journalistic":[51],"summary":[52],"event":[55],"using":[56],"only":[57],"from":[60,97],"source.":[64],"Temporal":[65],"cues,":[66],"spikes":[69],"in":[70],"volume":[72],"updates,":[75],"used":[77,92],"identify":[79],"important":[81,105],"moments":[82],"within":[83,107],"event,":[85],"sentence":[88],"ranking":[89],"method":[90,131],"is":[91],"extract":[94],"relevant":[95],"sentences":[96],"corpus":[99],"each":[104],"moment":[106],"We":[110],"evaluate":[111],"our":[112,130],"compared":[114],"human-generated":[116,146],"summaries":[117],"previous":[120,136],"best":[121],"summarization":[122],"algorithm,":[123],"find":[125],"results":[128],"superior":[133],"approach":[139],"readability":[141],"grammaticality":[143],"summaries.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":41},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":39},{"year":2014,"cited_by_count":26},{"year":2013,"cited_by_count":22},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}