{"id":"https://openalex.org/W1990806140","doi":"https://doi.org/10.1145/1008992.1009061","title":"Language-specific models in multilingual topic tracking","display_name":"Language-specific models in multilingual topic tracking","publication_year":2004,"publication_date":"2004-07-25","ids":{"openalex":"https://openalex.org/W1990806140","doi":"https://doi.org/10.1145/1008992.1009061","mag":"1990806140"},"language":"en","primary_location":{"id":"doi:10.1145/1008992.1009061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1008992.1009061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044299923","display_name":"Leah S. Larkey","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leah S. Larkey","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103468848","display_name":"Fangfang Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangfang Feng","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090532964","display_name":"Margaret E. Connell","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Margaret Connell","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040085648","display_name":"Victor Lavrenko","orcid":"https://orcid.org/0000-0002-2106-8173"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor Lavrenko","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"402","last_page":"409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9983000159263611,"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":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.8350616693496704},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6551353931427002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6297488212585449},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.623245894908905},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5968005657196045},{"id":"https://openalex.org/keywords/english-language","display_name":"English language","score":0.5065599679946899},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4800878167152405},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.44099369645118713},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.29760828614234924},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08742105960845947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8350616693496704},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6551353931427002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6297488212585449},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.623245894908905},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5968005657196045},{"id":"https://openalex.org/C2987496018","wikidata":"https://www.wikidata.org/wiki/Q1860","display_name":"English language","level":2,"score":0.5065599679946899},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4800878167152405},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.44099369645118713},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.29760828614234924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08742105960845947},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1008992.1009061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1008992.1009061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.152.5925","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.5925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ciir.cs.umass.edu/pubfiles/ir-343.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W117170265","https://openalex.org/W203472813","https://openalex.org/W1490780533","https://openalex.org/W1496393218","https://openalex.org/W1514403774","https://openalex.org/W1526730373","https://openalex.org/W1567441331","https://openalex.org/W1594112393","https://openalex.org/W1601068082","https://openalex.org/W2005964311","https://openalex.org/W2033527013","https://openalex.org/W2033937535","https://openalex.org/W2058200372","https://openalex.org/W2169213601","https://openalex.org/W2918757710","https://openalex.org/W4246858749"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W3200230513","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2769501189","https://openalex.org/W2226452791","https://openalex.org/W2626306547","https://openalex.org/W2962686197","https://openalex.org/W2169518243","https://openalex.org/W4312773271"],"abstract_inverted_index":{"Topic":[0],"tracking":[1,82],"is":[2],"complicated":[3],"when":[4],"the":[5,8,23,46,63,67,74,83,101],"stories":[6,25,35],"in":[7,11,29,62,100],"stream":[9],"occur":[10],"multiple":[12],"languages.":[13],"Typically,":[14],"researchers":[15],"have":[16,26],"trained":[17],"only":[18],"English":[19,41],"topic":[20,47,81,95,113],"models":[21,96],"because":[22],"training":[24],"been":[27],"provided":[28],"English.":[30],"In":[31],"tracking,":[32],"non-English":[33],"test":[34,71],"are":[36],"then":[37],"machine":[38],"translated":[39],"into":[40],"to":[42,91],"compare":[43,104],"them":[44],"with":[45],"models.":[48,114],"We":[49,69,103],"propose":[50],"a":[51],"native":[52,111],"language":[53,65,99,112],"hypothesis":[54,75,84],"stating":[55],"that":[56,86],"comparisons":[57],"would":[58],"be":[59,89],"more":[60],"effective":[61],"original":[64],"of":[66,107],"story.":[68],"first":[70],"and":[72],"support":[73],"for":[76,97],"story":[77],"link":[78],"detection.":[79],"For":[80],"implies":[85],"it":[87],"should":[88],"preferable":[90],"build":[92],"separate":[93],"language-specific":[94],"each":[98],"stream.":[102],"different":[105],"methods":[106],"incrementally":[108],"building":[109],"such":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
