{"id":"https://openalex.org/W4238346259","doi":"https://doi.org/10.1017/s1351324900000139","title":"Poisson mixtures","display_name":"Poisson mixtures","publication_year":1995,"publication_date":"1995-06-01","ids":{"openalex":"https://openalex.org/W4238346259","doi":"https://doi.org/10.1017/s1351324900000139"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324900000139","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324900000139","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","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/A5016543371","display_name":"Kenneth Church","orcid":"https://orcid.org/0000-0001-8378-6069"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kenneth W. Church","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068671901","display_name":"William A. Gale","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William A. Gale","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016543371"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5893,"has_fulltext":false,"cited_by_count":209,"citation_normalized_percentile":{"value":0.79828621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"1","issue":"2","first_page":"163","last_page":"190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9951000213623047,"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":0.9951000213623047,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9940999746322632,"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":0.9940999746322632,"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/paragraph","display_name":"Paragraph","score":0.8548122644424438},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.8321914672851562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689439058303833},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5313480496406555},{"id":"https://openalex.org/keywords/negative-binomial-distribution","display_name":"Negative binomial distribution","score":0.507420003414154},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.5052610039710999},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4856897294521332},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4557558596134186},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41637158393859863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3795315623283386},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26776009798049927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2285594940185547},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09004145860671997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08325493335723877}],"concepts":[{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.8548122644424438},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.8321914672851562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689439058303833},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5313480496406555},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.507420003414154},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.5052610039710999},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4856897294521332},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4557558596134186},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41637158393859863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3795315623283386},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26776009798049927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2285594940185547},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09004145860671997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08325493335723877},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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":1,"locations":[{"id":"doi:10.1017/s1351324900000139","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324900000139","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1977182536","https://openalex.org/W1982442952","https://openalex.org/W1995875735","https://openalex.org/W2036027395","https://openalex.org/W2040004971","https://openalex.org/W2080068076","https://openalex.org/W2099111195","https://openalex.org/W2142843952","https://openalex.org/W2144211451","https://openalex.org/W2153890685","https://openalex.org/W2939083804","https://openalex.org/W4241031153","https://openalex.org/W4251326898","https://openalex.org/W6644484350"],"related_works":["https://openalex.org/W2995051414","https://openalex.org/W2047907216","https://openalex.org/W2060931646","https://openalex.org/W1553793542","https://openalex.org/W1991230619","https://openalex.org/W4311363496","https://openalex.org/W4319841362","https://openalex.org/W4232372158","https://openalex.org/W2036731318","https://openalex.org/W2068245138"],"abstract_inverted_index":{"Abstract":[0],"Shannon":[1],"(1948)":[2],"showed":[3],"that":[4],"a":[5,48,98,120,127],"wide":[6],"range":[7],"of":[8,17,21,43,82,143],"practical":[9],"problems":[10],"can":[11],"be":[12],"reduced":[13],"to":[14,46,58,61,64,67,70,74,92,97,105],"the":[15,88,133,144],"problem":[16],"estimating":[18],"probability":[19],"distributions":[20],"words":[22],"and":[23,39,72,157],"ngrams":[24],"in":[25,32],"text.":[26],"It":[27],"has":[28],"become":[29],"standard":[30,137],"practice":[31],"text":[33],"compression,":[34],"speech":[35],"recognition,":[36],"information":[37],"retrieval":[38],"many":[40],"other":[41],"applications":[42],"Shannon's":[44],"theory":[45],"introduce":[47],"\u201cbag-of-words\u201d":[49],"assumption.":[50],"But":[51],"obviously,":[52],"word":[53],"rates":[54],"vary":[55,93],"from":[56],"genre":[57],"genre,":[59,112],"author":[60],"author,":[62,113],"topic":[63],"topic,":[65,114],"document":[66,154],"document,":[68],"section":[69],"section,":[71],"paragraph":[73],"paragraph.":[75],"The":[76],"proposed":[77],"Poisson":[78,89,130],"mixture":[79],"captures":[80],"much":[81],"this":[83],"heterogeneous":[84],"structure":[85],"by":[86],"allowing":[87],"parameter":[90],"\u03b8":[91],"over":[94,146],"documents":[95,147],"subject":[96],"density":[99],"function":[100],"\u03c6.":[101],"\u03c6":[102,125],"is":[103,119,126],"intended":[104],"capture":[106],"dependencies":[107],"on":[108],"hidden":[109],"variables":[110],"such":[111],"etc.":[115],"(The":[116],"Negative":[117],"Binomial":[118],"well-known":[121],"special":[122],"case":[123],"where":[124],"\u0413":[128],"distribution.)":[129],"mixtures":[131],"fit":[132],"data":[134],"better":[135],"than":[136],"Poissons,":[138],"producing":[139],"more":[140],"accurate":[141],"estimates":[142],"variance":[145],"(\u03c3":[148],"2":[149],"),":[150],"entropy":[151],"(H),":[152],"inverse":[153],"frequency":[155],"(IDF),":[156],"adaptation":[158],"(Pr(":[159],"x":[160,163],"\u2265":[161,164],"2/":[162],"1)).":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":30},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":9}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-05-12T00:00:00"}