{"id":"https://openalex.org/W2161793958","doi":"https://doi.org/10.3115/1034678.1034735","title":"Statistical models for topic segmentation","display_name":"Statistical models for topic segmentation","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W2161793958","doi":"https://doi.org/10.3115/1034678.1034735","mag":"2161793958"},"language":"en","primary_location":{"id":"doi:10.3115/1034678.1034735","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1034678.1034735","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1034678.1034735","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics  -","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1034678.1034735","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037224552","display_name":"Jeffrey C. Reynar","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffrey C. Reynar","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037224552"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":9.3541,"has_fulltext":true,"cited_by_count":89,"citation_normalized_percentile":{"value":0.97989736,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"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":0.8120416402816772},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8096979856491089},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6415721774101257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706329941749573},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5409984588623047},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.490657240152359},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44220292568206787},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4122955799102783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3531382083892822},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15537235140800476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120416402816772},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8096979856491089},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6415721774101257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706329941749573},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5409984588623047},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.490657240152359},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44220292568206787},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4122955799102783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3531382083892822},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15537235140800476},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/1034678.1034735","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1034678.1034735","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1034678.1034735","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics  -","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.12.4746","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.4746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/P/P99/P99-1046.pdf","raw_type":"text"},{"id":"pmh:oai:acl.sr.language-archives.org:P99-1046","is_oa":false,"landing_page_url":"http://www.aclweb.org/anthology/P99-1046","pdf_url":null,"source":{"id":"https://openalex.org/S4306402137","display_name":"The COCOON platform (University of Paris)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.3115/1034678.1034735","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1034678.1034735","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1034678.1034735","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics  -","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2161793958.pdf","grobid_xml":"https://content.openalex.org/works/W2161793958.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1482854515","https://openalex.org/W1495373554","https://openalex.org/W1503416306","https://openalex.org/W1572970401","https://openalex.org/W1591095982","https://openalex.org/W1604285433","https://openalex.org/W1710422233","https://openalex.org/W1730134856","https://openalex.org/W1759973002","https://openalex.org/W1770838219","https://openalex.org/W1773803948","https://openalex.org/W2000569744","https://openalex.org/W2005313804","https://openalex.org/W2015933299","https://openalex.org/W2033586051","https://openalex.org/W2100873065","https://openalex.org/W2110837057","https://openalex.org/W2112007518","https://openalex.org/W2113110240","https://openalex.org/W2137717291","https://openalex.org/W2139042198","https://openalex.org/W2149041454","https://openalex.org/W2163918411","https://openalex.org/W2167702024","https://openalex.org/W2949496004","https://openalex.org/W3037715718","https://openalex.org/W4234200495","https://openalex.org/W4302585900","https://openalex.org/W6628708496","https://openalex.org/W6630003417","https://openalex.org/W6634297967","https://openalex.org/W6635601524","https://openalex.org/W6637852806","https://openalex.org/W6650218246","https://openalex.org/W6654456149","https://openalex.org/W6674877832","https://openalex.org/W6676881988","https://openalex.org/W6680890589","https://openalex.org/W6684552912","https://openalex.org/W6764734552","https://openalex.org/W6780672502","https://openalex.org/W6959605631","https://openalex.org/W6987666528"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388258507","https://openalex.org/W2392013855","https://openalex.org/W4318064328","https://openalex.org/W2357926602","https://openalex.org/W3200517220","https://openalex.org/W2374569605","https://openalex.org/W2386062718","https://openalex.org/W4393047559","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Most":[0],"documents":[1,16],"are":[2],"about":[3],"more":[4],"than":[5],"one":[6,19],"subject,":[7],"but":[8],"many":[9],"NLP":[10],"and":[11,37],"IR":[12,59],"techniques":[13],"implicitly":[14],"assume":[15],"have":[17],"just":[18],"topic.":[20],"We":[21,45],"describe":[22],"new":[23,29],"clues":[24],"that":[25,61],"mark":[26],"shifts":[27],"to":[28],"topics,":[30],"novel":[31],"algorithms":[32],"for":[33],"identifying":[34],"topic":[35,47],"boundaries":[36,42],"the":[38],"uses":[39],"of":[40],"such":[41],"once":[43],"identified.":[44],"report":[46],"segmentation":[48],"performance":[49],"on":[50,57],"several":[51],"corpora":[52],"as":[53,55],"well":[54],"improvement":[56],"an":[58],"task":[60],"benefits":[62],"from":[63],"good":[64],"segmentation.":[65]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}