{"id":"https://openalex.org/W3139076138","doi":"https://doi.org/10.1145/3448748.3448799","title":"Research on Dialogue Generation Algorithm Based on Explicit Weighted Context","display_name":"Research on Dialogue Generation Algorithm Based on Explicit Weighted Context","publication_year":2021,"publication_date":"2021-01-22","ids":{"openalex":"https://openalex.org/W3139076138","doi":"https://doi.org/10.1145/3448748.3448799","mag":"3139076138"},"language":"en","primary_location":{"id":"doi:10.1145/3448748.3448799","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","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/A5046938147","display_name":"Yue Yl L","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Yl L","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090207752","display_name":"Fu Fx","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Fx X","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053807021","display_name":"Fengming Fml L","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengming Fml L","raw_affiliation_strings":["Business School, Shandong Normal University"],"affiliations":[{"raw_affiliation_string":"Business School, Shandong Normal University","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011970801","display_name":"Fengyang Fyy Y","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyang Fyy Y","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071656096","display_name":"Chuanjie Cjx","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanjie Cjx X","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046938147"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03718721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"314","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9986000061035156,"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/T12031","display_name":"Speech and dialogue systems","score":0.9986000061035156,"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":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9918000102043152,"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":0.8095653653144836},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5653071403503418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5423110723495483},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5285305380821228},{"id":"https://openalex.org/keywords/contradiction","display_name":"Contradiction","score":0.526374876499176},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5042866468429565},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.47040802240371704},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45134374499320984},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4429859220981598},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4184938371181488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41813692450523376},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4109543561935425},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1290433406829834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08788573741912842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8095653653144836},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5653071403503418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5423110723495483},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5285305380821228},{"id":"https://openalex.org/C2776728590","wikidata":"https://www.wikidata.org/wiki/Q363948","display_name":"Contradiction","level":2,"score":0.526374876499176},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5042866468429565},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.47040802240371704},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45134374499320984},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4429859220981598},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4184938371181488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41813692450523376},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4109543561935425},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1290433406829834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08788573741912842},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448748.3448799","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1574292571","https://openalex.org/W2339852062","https://openalex.org/W2399880602","https://openalex.org/W2741363662","https://openalex.org/W2962838727","https://openalex.org/W2962883855","https://openalex.org/W3048314419","https://openalex.org/W3048392339","https://openalex.org/W3103338449","https://openalex.org/W3105451204","https://openalex.org/W6780674358","https://openalex.org/W7052943246"],"related_works":["https://openalex.org/W2381825231","https://openalex.org/W2377933838","https://openalex.org/W2348916262","https://openalex.org/W4210310594","https://openalex.org/W2330422317","https://openalex.org/W2354224618","https://openalex.org/W2354172502","https://openalex.org/W2391836570","https://openalex.org/W2361796009","https://openalex.org/W2392027916"],"abstract_inverted_index":{"At":[0],"present,":[1],"generating":[2,159],"responses":[3],"based":[4],"on":[5],"neural":[6],"network":[7],"learning":[8],"has":[9,15],"become":[10],"a":[11,18,128],"hot":[12],"spot,":[13],"and":[14,27,40,88,97,139,162],"gradually":[16],"entered":[17],"new":[19],"stage":[20],"of":[21,29,76,105,115,148],"pre-training":[22,117],"language":[23,118],"model.":[24,173],"The":[25,142],"intelligence":[26],"transferability":[28],"the":[30,34,62,69,74,82,86,89,95,102,106,112,116,123,155,171],"dialogue":[31,91,113],"system":[32],"in":[33,64],"open":[35],"domain":[36],"is":[37],"becoming":[38],"more":[39,41,160],"obvious,":[42],"but":[43],"there":[44],"are":[45],"still":[46],"many":[47],"problems,":[48],"such":[49],"as":[50,59],"single":[51],"reply,":[52,65],"logic":[53],"contradiction,":[54],"general":[55],"security":[56],"answer.":[57],"So":[58],"to":[60,92,101],"solve":[61],"weakness":[63],"we":[66,126],"starting":[67],"from":[68,131],"context,":[70],"this":[71],"paper":[72],"uses":[73],"method":[75,147],"Point":[77],"Mutual":[78],"Information":[79],"(PMI)to":[80],"calculate":[81],"relevant":[83],"weight":[84,94],"between":[85],"context":[87,96,151],"current":[90,107],"explicitly":[93],"give":[98],"full":[99],"play":[100],"effective":[103],"information":[104,157],"dialogue.":[108],"Further":[109],"inputing":[110],"into":[111],"generation":[114],"model":[119],"for":[120],"fine-tuning.":[121],"In":[122],"experimental":[124],"evaluation,":[125,135],"make":[127],"comprehensive":[129],"analysis":[130],"three":[132],"aspects:":[133],"automatic":[134],"objective":[136],"index":[137],"calculation":[138],"manual":[140],"evaluation.":[141],"results":[143],"show":[144],"that":[145],"our":[146],"explicit":[149],"weighted":[150],"coding":[152,156],"will":[153],"enrich":[154],"further":[158],"diverse":[161],"meaningful":[163],"responses,":[164],"can":[165],"be":[166],"significantly":[167],"improved":[168],"compared":[169],"with":[170],"baseline":[172]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
