{"id":"https://openalex.org/W4417111721","doi":"https://doi.org/10.1007/s10791-025-09829-2","title":"Interactive robot dialogue text fusion algorithm based on Transformer-XL model and knowledge distillation","display_name":"Interactive robot dialogue text fusion algorithm based on Transformer-XL model and knowledge distillation","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W4417111721","doi":"https://doi.org/10.1007/s10791-025-09829-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10791-025-09829-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09829-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09829-2.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09829-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014038359","display_name":"Peng Wan","orcid":"https://orcid.org/0000-0002-3274-1319"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Peng Wan","raw_affiliation_strings":["State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102216555","display_name":"Fei Guo","orcid":"https://orcid.org/0009-0000-4504-2480"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Guo","raw_affiliation_strings":["State Grid Ningxia Pingluo Electric Power Co., Ltd, Shizuishan, 753000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Ningxia Pingluo Electric Power Co., Ltd, Shizuishan, 753000, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456598","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0003-3936-607X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116636549","display_name":"Yuanyuan Shi","orcid":"https://orcid.org/0000-0003-3035-1082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanyuan Shi","raw_affiliation_strings":["State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087136873","display_name":"Fan Yi","orcid":"https://orcid.org/0000-0002-1411-9489"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fuguo Yi","raw_affiliation_strings":["State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Ningxia Electric Power Co., Ltd., Yinchuan, 750000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014038359"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19644419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.31520000100135803,"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":0.31520000100135803,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1890999972820282,"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"}},{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.16590000689029694,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6442000269889832},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5813999772071838},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44749999046325684},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4075999855995178},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.37950000166893005},{"id":"https://openalex.org/keywords/interactive-learning","display_name":"Interactive Learning","score":0.3702999949455261},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.35100001096725464},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3337000012397766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903000116348267},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6442000269889832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6019999980926514},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5813999772071838},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C2776716048","wikidata":"https://www.wikidata.org/wiki/Q6045290","display_name":"Interactive Learning","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36550000309944153},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.35100001096725464},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34040001034736633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C71611378","wikidata":"https://www.wikidata.org/wiki/Q5165191","display_name":"Contextual design","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10791-025-09829-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09829-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09829-2.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a2bdfc887bf948a792dd8aa554bb08c9","is_oa":true,"landing_page_url":"https://doaj.org/article/a2bdfc887bf948a792dd8aa554bb08c9","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":"Discover Computing, Vol 28, Iss 1, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10791-025-09829-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09829-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09829-2.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417111721.pdf","grobid_xml":"https://content.openalex.org/works/W4417111721.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W3203500251","https://openalex.org/W4205140962","https://openalex.org/W4211187424","https://openalex.org/W4284972339","https://openalex.org/W4285127053","https://openalex.org/W4292474994","https://openalex.org/W4306408017","https://openalex.org/W4318460697","https://openalex.org/W4379015399","https://openalex.org/W4385977411","https://openalex.org/W4388336851","https://openalex.org/W4392125139","https://openalex.org/W4396806897","https://openalex.org/W4400315904","https://openalex.org/W4411260630"],"related_works":[],"abstract_inverted_index":{"To":[0],"enhance":[1],"the":[2,15,43,62,78,81,89,95,100,105,120,147,167,176,181],"understanding":[3],"of":[4,18,70,170,183],"contextual":[5,90,188],"relationships":[6,91],"between":[7],"sentences":[8,93],"in":[9,27,94],"interactive":[10,38,168],"robot":[11,39],"dialogue":[12,20,40,63,96,111,171],"texts,":[13],"reduce":[14],"computational":[16,141],"cost":[17],"deploying":[19],"systems,":[21],"and":[22,46,74,102,140,154,162],"improve":[23,137],"their":[24],"operational":[25],"efficiency":[26],"resource-constrained":[28],"environments,":[29],"this":[30],"study":[31],"investigates":[32],"a":[33,52,124,132],"text":[34],"fusion":[35],"algorithm":[36,50,82,149],"for":[37],"based":[41],"on":[42],"Transformer-XL":[44],"model":[45,135],"knowledge":[47,130,184],"distillation.":[48],"The":[49,173],"employs":[51],"convolutional":[53],"neural":[54],"network":[55],"(CNN)":[56],"to":[57,118,131,136,159,175,195],"extract":[58],"local":[59,101],"features":[60,86,107],"from":[61],"text.":[64,97],"By":[65],"integrating":[66],"two":[67],"innovative":[68],"mechanisms":[69],"Transformer-XL\u2014the":[71],"recurrence":[72],"mechanism":[73],"relative":[75],"positional":[76],"encoding\u2014into":[77],"Transformer":[79,177],"architecture,":[80],"effectively":[83],"captures":[84],"global":[85,103],"that":[87,146],"represent":[88],"among":[92],"After":[98],"fusing":[99],"features,":[104],"combined":[106],"are":[108],"decoded":[109],"into":[110],"responses.":[112,198],"Knowledge":[113],"distillation":[114],"is":[115],"then":[116],"applied":[117],"treat":[119],"above-described":[121],"process":[122],"as":[123],"complex":[125],"teacher":[126],"model,":[127,178],"transferring":[128],"its":[129],"lightweight":[133],"student":[134],"both":[138],"performance":[139],"efficiency.":[142],"Experimental":[143],"results":[144],"show":[145],"proposed":[148],"can":[150],"generate":[151],"coherent,":[152],"meaningful,":[153],"contextually":[155],"appropriate":[156],"responses":[157],"according":[158],"user":[160],"inputs":[161],"conversational":[163,197],"context,":[164],"thereby":[165],"enhancing":[166],"effectiveness":[169],"robots.":[172],"improvements":[174],"along":[179],"with":[180],"incorporation":[182],"distillation,":[185],"help":[186],"preserve":[187],"information":[189],"when":[190],"processing":[191],"long":[192],"sequences,":[193],"leading":[194],"higher-quality":[196]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-12-08T00:00:00"}