{"id":"https://openalex.org/W4387571666","doi":"https://doi.org/10.3390/e25101444","title":"DAT-MT Accelerated Graph Fusion Dependency Parsing Model for Small Samples in Professional Fields","display_name":"DAT-MT Accelerated Graph Fusion Dependency Parsing Model for Small Samples in Professional Fields","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4387571666","doi":"https://doi.org/10.3390/e25101444","pmid":"https://pubmed.ncbi.nlm.nih.gov/37895565"},"language":"en","primary_location":{"id":"doi:10.3390/e25101444","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25101444","pdf_url":"https://www.mdpi.com/1099-4300/25/10/1444/pdf?version=1697103935","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/10/1444/pdf?version=1697103935","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021251779","display_name":"Rui Li","orcid":"https://orcid.org/0000-0001-5167-2956"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"],"raw_orcid":"https://orcid.org/0000-0001-5167-2956","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113021523","display_name":"Shu Shili","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shili Shu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605353","display_name":"Shunli Wang","orcid":"https://orcid.org/0000-0001-6663-4960"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunli Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"],"raw_orcid":"https://orcid.org/0000-0001-6663-4960","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006573170","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-4061-0631"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"],"raw_orcid":"https://orcid.org/0000-0003-4061-0631","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083295774","display_name":"Yanhao Li","orcid":"https://orcid.org/0000-0003-4825-2584"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhao Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087101952","display_name":"Mingjun Peng","orcid":"https://orcid.org/0000-0001-6528-9499"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mingjun Peng","raw_affiliation_strings":["Wuhan Geomatics Institute, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Geomatics Institute, Wuhan 430079, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087101952"],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.1639,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56768002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"25","issue":"10","first_page":"1444","last_page":"1444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9990000128746033,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9904000163078308,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9860000014305115,"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":0.8687989711761475},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.848258912563324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.702143669128418},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.6327866911888123},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6229782104492188},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5346803665161133},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5025215148925781},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.4748654365539551},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.4163843095302582},{"id":"https://openalex.org/keywords/syntactic-predicate","display_name":"Syntactic predicate","score":0.41295942664146423},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.37236812710762024},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14905330538749695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8687989711761475},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.848258912563324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.702143669128418},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.6327866911888123},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6229782104492188},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5346803665161133},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5025215148925781},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.4748654365539551},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.4163843095302582},{"id":"https://openalex.org/C1807295","wikidata":"https://www.wikidata.org/wiki/Q7662657","display_name":"Syntactic predicate","level":3,"score":0.41295942664146423},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.37236812710762024},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14905330538749695},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e25101444","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25101444","pdf_url":"https://www.mdpi.com/1099-4300/25/10/1444/pdf?version=1697103935","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37895565","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37895565","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10606639","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10606639","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10606639/pdf/entropy-25-01444.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:dfd7376ad7e146088c4ee53fcc6d761a","is_oa":true,"landing_page_url":"https://doaj.org/article/dfd7376ad7e146088c4ee53fcc6d761a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 10, p 1444 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e25101444","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25101444","pdf_url":"https://www.mdpi.com/1099-4300/25/10/1444/pdf?version=1697103935","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1570605330","display_name":null,"funder_award_id":"U20A2091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5475110606","display_name":"\u4e91GIS\u4e2d\u533a\u57df\u7279\u5f81\u7684\u7528\u6237\u884c\u4e3a\u7814\u7a76\u53ca\u670d\u52a1\u8d44\u6e90\u9700\u6c42\u9884\u6d4b","funder_award_id":"41771426","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387571666.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1120278242","https://openalex.org/W1611590205","https://openalex.org/W1660460062","https://openalex.org/W1949845622","https://openalex.org/W1968209123","https://openalex.org/W2004827252","https://openalex.org/W2021980185","https://openalex.org/W2029718725","https://openalex.org/W2098258619","https://openalex.org/W2100921762","https://openalex.org/W2139465040","https://openalex.org/W2145726597","https://openalex.org/W2153495590","https://openalex.org/W2158211888","https://openalex.org/W2171865765","https://openalex.org/W2250737685","https://openalex.org/W2371196900","https://openalex.org/W2533640837","https://openalex.org/W2562135657","https://openalex.org/W2587887956","https://openalex.org/W2740345664","https://openalex.org/W2793766246","https://openalex.org/W2885465324","https://openalex.org/W2901313687","https://openalex.org/W2963737810","https://openalex.org/W2976395159","https://openalex.org/W3018777383","https://openalex.org/W3035927493","https://openalex.org/W3037312869","https://openalex.org/W3045828162","https://openalex.org/W3045873672","https://openalex.org/W3087256401","https://openalex.org/W3088470625","https://openalex.org/W3105178602","https://openalex.org/W3106449144","https://openalex.org/W3107905525","https://openalex.org/W3123829608","https://openalex.org/W3174584449","https://openalex.org/W3199132172","https://openalex.org/W3214193653","https://openalex.org/W3216515057","https://openalex.org/W4210894209","https://openalex.org/W4214745526","https://openalex.org/W4283331170","https://openalex.org/W4295269095","https://openalex.org/W4323830535","https://openalex.org/W4364364315","https://openalex.org/W4384302891","https://openalex.org/W6676923125","https://openalex.org/W6677674009","https://openalex.org/W6843057714","https://openalex.org/W6948248901","https://openalex.org/W7064683955"],"related_works":["https://openalex.org/W2250574586","https://openalex.org/W2389755172","https://openalex.org/W2152451097","https://openalex.org/W3035970863","https://openalex.org/W3088470625","https://openalex.org/W2058621701","https://openalex.org/W2116587737","https://openalex.org/W3096367574","https://openalex.org/W3211344469","https://openalex.org/W2089650885"],"abstract_inverted_index":{"The":[0,167],"rapid":[1,144],"development":[2],"of":[3,10,32,39,56,63,71,116,124,146,160,183,239,267],"information":[4,11,27],"technology":[5],"has":[6],"made":[7],"the":[8,30,35,43,51,54,69,94,104,114,122,132,136,143,152,157,164,172,178,184,194,198,210,231,245,264],"amount":[9],"in":[12,46,233,270],"massive":[13,147,268],"texts":[14,269],"far":[15],"exceed":[16],"human":[17],"intuitive":[18],"cognition,":[19],"and":[20,37,42,67,82,127,156,177,190,202,206,222,252,257,281],"dependency":[21,88],"parsing":[22,89,165],"can":[23],"effectively":[24,92],"deal":[25],"with":[26,103,193,196,209,213,247],"overload.":[28],"In":[29],"background":[31],"domain":[33,61,282],"specialization,":[34],"migration":[36,62],"application":[38],"syntactic":[40,47,57,64,96,106,117,259],"treebanks":[41],"speed":[44,70],"improvement":[45],"analysis":[48,260],"models":[49],"become":[50],"key":[52],"to":[53,151,244],"efficiency":[55],"analysis.":[58],"To":[59],"realize":[60],"tree":[65,250],"library":[66],"improve":[68],"text":[72],"parsing,":[73],"this":[74,234],"paper":[75,235],"proposes":[76],"a":[77,237,248,253],"novel":[78],"approach-the":[79],"Double-Array":[80],"Trie":[81],"Multi-threading":[83],"(DAT-MT)":[84],"accelerated":[85],"graph":[86,133,284],"fusion":[87,134],"model.":[90],"It":[91,141],"combines":[93],"specialized":[95],"features":[97,107,150],"from":[98,108],"small-scale":[99],"professional":[100,199,271,278],"field":[101,200],"corpus":[102,201],"generalized":[105],"large-scale":[109],"news":[110,214],"corpus,":[111],"which":[112],"improves":[113],"accuracy":[115],"relation":[118],"recognition.":[119],"Aiming":[120],"at":[121],"problem":[123],"high":[125],"space":[126],"time":[128],"complexity":[129],"brought":[130],"by":[131,188,204],"model,":[135],"DAT-MT":[137],"method":[138,232,246],"is":[139],"proposed.":[140],"realizes":[142],"mapping":[145],"Chinese":[148],"character":[149],"model's":[153],"prior":[154],"parameters":[155],"parallel":[158],"processing":[159,266],"calculation,":[161],"thereby":[162],"improving":[163],"speed.":[166],"experimental":[168],"results":[169],"show":[170],"that":[171],"unlabeled":[173],"attachment":[174,180],"score":[175,181],"(UAS)":[176],"labeled":[179],"(LAS)":[182],"model":[185,195,211],"are":[186,218],"improved":[187,203],"13.34%":[189],"14.82%":[191],"compared":[192,208,243],"only":[197,212],"3.14%":[205],"3.40%":[207],"corpus;":[215],"both":[216],"indicators":[217],"better":[219],"than":[220],"DDParser":[221],"LTP":[223],"4":[224],"methods":[225,261],"based":[226],"on":[227],"deep":[228],"learning.":[229],"Additionally,":[230],"achieves":[236],"speedup":[238],"about":[240],"3.7":[241],"times":[242],"red-black":[249],"index":[251],"single":[254],"thread.":[255],"Efficient":[256],"accurate":[258],"will":[262],"benefit":[263],"real-time":[265],"fields,":[272],"such":[273],"as":[274],"multi-dimensional":[275],"semantic":[276],"correlation,":[277],"feature":[279],"extraction,":[280],"knowledge":[283],"construction.":[285]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}