{"id":"https://openalex.org/W2020477310","doi":"https://doi.org/10.4304/jsw.7.11.2488-2493","title":"Chinese Learning of Semantical Selectional Preferences Based on LSC Model and Expectation Maximization Algorithm","display_name":"Chinese Learning of Semantical Selectional Preferences Based on LSC Model and Expectation Maximization Algorithm","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2020477310","doi":"https://doi.org/10.4304/jsw.7.11.2488-2493","mag":"2020477310"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.7.11.2488-2493","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.11.2488-2493","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","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/A5103574372","display_name":"Dongming Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dongming Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683953","display_name":"Lijuan Zhang","orcid":"https://orcid.org/0000-0001-7364-6070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijuan Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039890623","display_name":"Mingquan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingquan Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043943469","display_name":"Wei Su","orcid":"https://orcid.org/0000-0002-7516-1699"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Su","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103574372"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08758897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing 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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing 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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9972000122070312,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9715999960899353,"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":0.8563793301582336},{"id":"https://openalex.org/keywords/collocation","display_name":"Collocation (remote sensing)","score":0.6236302852630615},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.5789980292320251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5718350410461426},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5691196322441101},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.4935492277145386},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4858553111553192},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4828565716743469},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4760934114456177},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.43618786334991455},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.420705109834671},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.41047748923301697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3442091941833496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2874530255794525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12336653470993042},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.09758681058883667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09247401356697083},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08766302466392517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8563793301582336},{"id":"https://openalex.org/C80023036","wikidata":"https://www.wikidata.org/wiki/Q5147531","display_name":"Collocation (remote sensing)","level":2,"score":0.6236302852630615},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.5789980292320251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5718350410461426},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5691196322441101},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.4935492277145386},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4858553111553192},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4828565716743469},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4760934114456177},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.43618786334991455},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.420705109834671},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.41047748923301697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3442091941833496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2874530255794525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12336653470993042},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09758681058883667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09247401356697083},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08766302466392517},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.7.11.2488-2493","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.11.2488-2493","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W304342737","https://openalex.org/W1487697660","https://openalex.org/W1490960179","https://openalex.org/W1531010694","https://openalex.org/W1818701922","https://openalex.org/W1999471173","https://openalex.org/W2022023435","https://openalex.org/W2050797400","https://openalex.org/W2054690340","https://openalex.org/W2096423148","https://openalex.org/W2141289451","https://openalex.org/W2168185617","https://openalex.org/W2168569413","https://openalex.org/W2170471032","https://openalex.org/W2361057821","https://openalex.org/W2598684926","https://openalex.org/W2792932412","https://openalex.org/W6629160047","https://openalex.org/W6638466298","https://openalex.org/W6674396799"],"related_works":["https://openalex.org/W2378425157","https://openalex.org/W2101702282","https://openalex.org/W2381229644","https://openalex.org/W2361754849","https://openalex.org/W2376574096","https://openalex.org/W3119431074","https://openalex.org/W2602782736","https://openalex.org/W2412460268","https://openalex.org/W2007682798","https://openalex.org/W3210287792"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,51,77],"situation":[3],"of":[4,16,24,33,60,70,89,104,113],"current":[5],"Chinese":[6,34,99],"language":[7],"resources":[8],"shortage":[9],",this":[10],"paper":[11],"proposes":[12],"semantically":[13],"selectional":[14],"preferences":[15],"unsupervised":[17],"learning":[18],"method,":[19],"and":[20,46,73,82],"presents":[21],"a":[22,57,87],"strategy":[23],"obtaining":[25],"verb-noun":[26,114],"semantic":[27,35,78],"collocation":[28,115],"in":[29],"Chinese.":[30],"An":[31],"approach":[32],"preference":[36],"learning,":[37],"which":[38],"is":[39,63],"based":[40],"on":[41,98],"Latent":[42],"Semantic":[43],"Clustering":[44],"model":[45],"Expectation":[47],"Maximization":[48],"Algorithm.":[49],"First,":[50],"parameters":[52],"are":[53,84],"initialized":[54],"randomly.":[55],"Second,":[56],"certain":[58],"number":[59],"training":[61],"iterations":[62],"performed":[64],"until":[65],"convergence.":[66],"Each":[67],"iteration":[68],"consists":[69],"expectation":[71],"step":[72],"maximization":[74],"step.":[75],"Finally,":[76],"association":[79],"between":[80],"verbs":[81],"nouns":[83],"calculated":[85],"as":[86],"measure":[88],"its":[90],"matching":[91],"probability.":[92],"This":[93],"method":[94],"can":[95],"be":[96],"used":[97],"without":[100],"syntax-annotated":[101],"corpora.":[102],"Lots":[103],"experiment":[105],"results":[106],"show":[107],"that":[108],"LSC":[109],"provides":[110],"proper":[111],"patterns":[112],"semantically.":[116],"The":[117],"algorithm":[118],"converges":[119],"quickly.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
