{"id":"https://openalex.org/W1991472448","doi":"https://doi.org/10.1016/j.ipm.2012.12.003","title":"Probabilistic Chinese word segmentation with non-local information and stochastic training","display_name":"Probabilistic Chinese word segmentation with non-local information and stochastic training","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W1991472448","doi":"https://doi.org/10.1016/j.ipm.2012.12.003","mag":"1991472448"},"language":"en","primary_location":{"id":"doi:10.1016/j.ipm.2012.12.003","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ipm.2012.12.003","pdf_url":null,"source":{"id":"https://openalex.org/S174847851","display_name":"Information Processing & Management","issn_l":"0306-4573","issn":["0306-4573","1873-5371"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Processing &amp; Management","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/A5101441137","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-8241-9320"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Sun","raw_affiliation_strings":["Key Laboratory of Computational Linguistics (Peking University), Ministry of Education, Beijing, China","School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Linguistics (Peking University), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101711221","display_name":"Yaozhong Zhang","orcid":"https://orcid.org/0000-0001-5598-2521"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yaozhong Zhang","raw_affiliation_strings":["Dept of Computer Science, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016823828","display_name":"Takuya Matsuzaki","orcid":"https://orcid.org/0000-0002-7425-4914"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Matsuzaki","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064113904","display_name":"Yoshimasa Tsuruoka","orcid":"https://orcid.org/0000-0002-0707-1077"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshimasa Tsuruoka","raw_affiliation_strings":["Dept of EEIS, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept of EEIS, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112241147","display_name":"Jun\u2019ichi Tsujii","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun\u2019ichi Tsujii","raw_affiliation_strings":["Microsoft Research Asia, Haidian District, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101441137"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":2.8855,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91177995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"49","issue":"3","first_page":"626","last_page":"636"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9984999895095825,"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":0.7755687832832336},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6834285259246826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6271092891693115},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5925862193107605},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.579828679561615},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5394222736358643},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4801299273967743},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.46847620606422424},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4464668929576874},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4131677448749542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4009133577346802},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3838314414024353},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37680584192276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1354694664478302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755687832832336},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6834285259246826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6271092891693115},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5925862193107605},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.579828679561615},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5394222736358643},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4801299273967743},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.46847620606422424},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4464668929576874},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4131677448749542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4009133577346802},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3838314414024353},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37680584192276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1354694664478302},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ipm.2012.12.003","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ipm.2012.12.003","pdf_url":null,"source":{"id":"https://openalex.org/S174847851","display_name":"Information Processing & Management","issn_l":"0306-4573","issn":["0306-4573","1873-5371"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Processing &amp; Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W25062297","https://openalex.org/W1592796124","https://openalex.org/W1971678616","https://openalex.org/W1978870270","https://openalex.org/W2005828695","https://openalex.org/W2035304092","https://openalex.org/W2036516910","https://openalex.org/W2058412233","https://openalex.org/W2101534792","https://openalex.org/W2102301788","https://openalex.org/W2105908356","https://openalex.org/W2109614908","https://openalex.org/W2117497855","https://openalex.org/W2125993116","https://openalex.org/W2131148434","https://openalex.org/W2131417696","https://openalex.org/W2132559980","https://openalex.org/W2133737073","https://openalex.org/W2142623206","https://openalex.org/W2147880316","https://openalex.org/W2150024778","https://openalex.org/W2158049734","https://openalex.org/W2158188757","https://openalex.org/W2163377725","https://openalex.org/W2165664509","https://openalex.org/W2168194229","https://openalex.org/W2467575451","https://openalex.org/W2787481829","https://openalex.org/W2787623005","https://openalex.org/W2912172494","https://openalex.org/W2913332048","https://openalex.org/W3029645440","https://openalex.org/W3145501851","https://openalex.org/W4293775970","https://openalex.org/W6659372462","https://openalex.org/W6682133467","https://openalex.org/W6683161899","https://openalex.org/W6683955732","https://openalex.org/W6684544359","https://openalex.org/W6748399770"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2082284720","https://openalex.org/W2084326697","https://openalex.org/W2194396582","https://openalex.org/W2027903142","https://openalex.org/W2116722627","https://openalex.org/W2354322608","https://openalex.org/W2379938888","https://openalex.org/W2804608325"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
