{"id":"https://openalex.org/W3015486465","doi":"https://doi.org/10.1109/kst48564.2020.9059302","title":"Improving Estimation of Conditional Probability for Determining Importance of a Bigram","display_name":"Improving Estimation of Conditional Probability for Determining Importance of a Bigram","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015486465","doi":"https://doi.org/10.1109/kst48564.2020.9059302","mag":"3015486465"},"language":"en","primary_location":{"id":"doi:10.1109/kst48564.2020.9059302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-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/A5031703122","display_name":"Toshiki Aoba","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshiki Aoba","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089007035","display_name":"Masato Kikuchi","orcid":"https://orcid.org/0000-0001-5894-3499"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Kikuchi","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063652311","display_name":"Mitsuo Yoshida","orcid":"https://orcid.org/0000-0002-0735-1116"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuo Yoshida","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008441752","display_name":"Kyoji Umemura","orcid":"https://orcid.org/0000-0003-0351-1626"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyoji Umemura","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031703122"],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03166557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9944000244140625,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/bigram","display_name":"Bigram","score":0.9980072975158691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6766420006752014},{"id":"https://openalex.org/keywords/probability-estimation","display_name":"Probability estimation","score":0.6412934064865112},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.5958336591720581},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5193737149238586},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.42295101284980774},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4183005094528198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41624966263771057},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.413729727268219},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3600606620311737},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3039484918117523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2838549017906189},{"id":"https://openalex.org/keywords/trigram","display_name":"Trigram","score":0.09805512428283691}],"concepts":[{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.9980072975158691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766420006752014},{"id":"https://openalex.org/C2983703474","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Probability estimation","level":2,"score":0.6412934064865112},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.5958336591720581},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5193737149238586},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.42295101284980774},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4183005094528198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41624966263771057},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.413729727268219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3600606620311737},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3039484918117523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2838549017906189},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.09805512428283691},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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":1,"locations":[{"id":"doi:10.1109/kst48564.2020.9059302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst48564.2020.9059302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W91088564","https://openalex.org/W1506285740","https://openalex.org/W1975690018","https://openalex.org/W2088042731","https://openalex.org/W2442629089","https://openalex.org/W2564416464","https://openalex.org/W2963958555","https://openalex.org/W3099192420","https://openalex.org/W6630198464"],"related_works":["https://openalex.org/W3020951519","https://openalex.org/W3173084154","https://openalex.org/W2334448532","https://openalex.org/W2982021180","https://openalex.org/W2131563376","https://openalex.org/W2251497876","https://openalex.org/W2241081188","https://openalex.org/W2128567707","https://openalex.org/W4327499987","https://openalex.org/W3015486465"],"abstract_inverted_index":{"We":[0,12,102,120],"conducted":[1],"experiments":[2],"for":[3,21],"improving":[4],"the":[5,15,18,23,36,51,54,78,82,93,107,118,123,126,130,140],"estimation":[6],"of":[7,9,26,84],"importance":[8,47],"a":[10,41,74,98],"bigram.":[11],"will":[13],"have":[14],"benefit":[16],"in":[17,28,40,57,64,110,125],"information":[19],"retrieval":[20],"using":[22],"indexed":[24],"list":[25],"bigrams":[27],"Japanese.":[29],"Importance":[30],"is":[31,38,48,72],"determined":[32],"by":[33,50,96,128],"verifying":[34],"if":[35],"bigram":[37,55],"included":[39],"title.":[42],"In":[43],"this":[44,46],"study,":[45],"expressed":[49],"probability":[52,95],"that":[53,60],"appear":[56],"title":[58],"provided":[59],"it":[61],"also":[62,121,144],"appears":[63],"abstract.":[65],"Dealing":[66],"with":[67],"less":[68],"frequently":[69],"occurring":[70],"data":[71],"always":[73],"challenge":[75],"to":[76,81,116,136],"estimate":[77],"probability,":[79],"due":[80],"danger":[83],"generating":[85],"false":[86],"results.":[87],"Using":[88],"direct":[89],"estimation,":[90],"we":[91],"estimated":[92],"conditional":[94],"adding":[97],"regularization":[99],"parameter":[100,142],"A.":[101,131],"compared":[103],"our":[104],"method":[105,133],"against":[106],"ones":[108],"used":[109],"Apriori":[111],"and":[112,139],"Maximum":[113],"Likelihood":[114],"Estimation":[115],"see":[117],"improvement.":[119],"observed":[122],"changes":[124],"result":[127],"changing":[129],"Our":[132],"was":[134,143],"found":[135],"be":[137],"effective,":[138],"required":[141],"robust.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
