{"id":"https://openalex.org/W2968853227","doi":"https://doi.org/10.1109/access.2019.2934149","title":"Multi-Turn Response Selection for Chatbots With Hierarchical Aggregation Network of Multi-Representation","display_name":"Multi-Turn Response Selection for Chatbots With Hierarchical Aggregation Network of Multi-Representation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2968853227","doi":"https://doi.org/10.1109/access.2019.2934149","mag":"2968853227"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2934149","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934149","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793065.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793065.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086674599","display_name":"Guanwen Mao","orcid":"https://orcid.org/0000-0001-8318-7648"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanwen Mao","raw_affiliation_strings":["College of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8318-7648","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022619382","display_name":"Jindian Su","orcid":"https://orcid.org/0000-0001-5878-1848"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindian Su","raw_affiliation_strings":["College of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048244059","display_name":"Shanshan Yu","orcid":"https://orcid.org/0000-0002-0864-3970"},"institutions":[{"id":"https://openalex.org/I190242452","display_name":"Guangdong Pharmaceutical University","ror":"https://ror.org/02vg7mz57","country_code":"CN","type":"education","lineage":["https://openalex.org/I190242452"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Yu","raw_affiliation_strings":["College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China","Guangdong Province Precise Medicine and Big Data Engineering Technology Research Center, Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China","institution_ids":["https://openalex.org/I190242452"]},{"raw_affiliation_string":"Guangdong Province Precise Medicine and Big Data Engineering Technology Research Center, Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China","institution_ids":["https://openalex.org/I190242452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006684031","display_name":"Da Luo","orcid":"https://orcid.org/0000-0003-1183-8354"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Luo","raw_affiliation_strings":["College of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4119,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86353863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"111736","last_page":"111745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8234590291976929},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7312846779823303},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5817914009094238},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5700733065605164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5233432650566101},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5152561664581299},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4886088967323303},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.45149630308151245},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4179956316947937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37812647223472595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08348575234413147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234590291976929},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7312846779823303},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5817914009094238},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5700733065605164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5233432650566101},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5152561664581299},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4886088967323303},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.45149630308151245},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4179956316947937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37812647223472595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08348575234413147},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2934149","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934149","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793065.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:39b70c777b954d05a48c63f9e7e16b51","is_oa":true,"landing_page_url":"https://doaj.org/article/39b70c777b954d05a48c63f9e7e16b51","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":"IEEE Access, Vol 7, Pp 111736-111745 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2934149","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934149","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793065.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5662906225","display_name":null,"funder_award_id":"2015A030310318","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6799882911","display_name":null,"funder_award_id":"20168010124010","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"},{"id":"https://openalex.org/G6860013135","display_name":null,"funder_award_id":"A2015065","funder_id":"https://openalex.org/F4320322161","funder_display_name":"Guangdong Medical Research Foundation"},{"id":"https://openalex.org/G7999566556","display_name":null,"funder_award_id":"52159433","funder_id":"https://openalex.org/F4320325068","funder_display_name":"Guangdong Pharmaceutical University"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322161","display_name":"Guangdong Medical Research Foundation","ror":null},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"},{"id":"https://openalex.org/F4320325068","display_name":"Guangdong Pharmaceutical University","ror":"https://ror.org/02vg7mz57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2968853227.pdf","grobid_xml":"https://content.openalex.org/works/W2968853227.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W10957333","https://openalex.org/W295828404","https://openalex.org/W1614298861","https://openalex.org/W1660390307","https://openalex.org/W1924770834","https://openalex.org/W1975244201","https://openalex.org/W2086511124","https://openalex.org/W2102531443","https://openalex.org/W2115101920","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2173361515","https://openalex.org/W2338325072","https://openalex.org/W2339852062","https://openalex.org/W2561368124","https://openalex.org/W2608787653","https://openalex.org/W2798456655","https://openalex.org/W2807873315","https://openalex.org/W2808293489","https://openalex.org/W2822830299","https://openalex.org/W2891416139","https://openalex.org/W2908331278","https://openalex.org/W2908602207","https://openalex.org/W2949446780","https://openalex.org/W2950577311","https://openalex.org/W2951528484","https://openalex.org/W2957380905","https://openalex.org/W2962739339","https://openalex.org/W2962854379","https://openalex.org/W2962883855","https://openalex.org/W2963403868","https://openalex.org/W2963542836","https://openalex.org/W2963963856","https://openalex.org/W2964308564","https://openalex.org/W3099023595","https://openalex.org/W4300125564","https://openalex.org/W4385245566","https://openalex.org/W6600426076","https://openalex.org/W6610549151","https://openalex.org/W6623987585","https://openalex.org/W6636510571","https://openalex.org/W6640212811","https://openalex.org/W6672077861","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6685536428","https://openalex.org/W6688979741","https://openalex.org/W6703908282","https://openalex.org/W6730073950","https://openalex.org/W6739901393","https://openalex.org/W6752918764","https://openalex.org/W6758243013","https://openalex.org/W6765587296"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W2366107444","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W2351687372","https://openalex.org/W2004087835"],"abstract_inverted_index":{"Matching":[0],"an":[1,111],"appropriate":[2],"response":[3,23,26,118,154],"with":[4],"its":[5],"multi-turn":[6,153],"context":[7,21,104],"is":[8,108],"a":[9,47,81,91,164],"crucial":[10],"challenge":[11],"in":[12,33,103,133],"retrieval-based":[13],"chatbots.":[14],"Current":[15],"studies":[16],"construct":[17],"multiple":[18],"representations":[19,32,57,76],"of":[20,51,77,123,131],"and":[22,35,59,74,79,105,136],"to":[24,54,71,84,128,141],"facilitate":[25],"selection,":[27],"but":[28],"they":[29],"use":[30,80],"these":[31,43,86],"isolation":[34],"ignore":[36],"the":[37,116,120,124,139,143],"relationships":[38],"among":[39],"representations.":[40,87],"To":[41],"address":[42],"problems,":[44],"we":[45,64,89,126],"propose":[46],"hierarchical":[48],"aggregation":[49,93],"network":[50],"multi-representation":[52],"(HAMR)":[53],"leverage":[55],"abundant":[56],"sufficiently":[58],"enhance":[60],"valuable":[61],"information.":[62],"First,":[63],"employ":[65],"bidirectional":[66],"recurrent":[67],"neural":[68],"networks":[69],"(BiRNN)":[70],"extract":[72],"syntactic":[73],"semantic":[75],"sentences":[78],"self-aggregation":[82],"mechanism":[83,94],"combine":[85],"Second,":[88],"design":[90],"matching":[92,98,145],"for":[95],"fusing":[96],"different":[97],"information":[99],"between":[100],"each":[101],"utterance":[102],"response,":[106],"which":[107],"generated":[109],"by":[110],"attention":[112],"mechanism.":[113],"By":[114],"considering":[115],"candidate":[117],"as":[119],"real":[121],"part":[122],"context,":[125],"try":[127],"integrate":[129],"all":[130],"them":[132],"chronological":[134],"order":[135],"then":[137],"accumulate":[138],"vectors":[140],"calculate":[142],"final":[144],"degree.":[146],"An":[147],"extensive":[148],"empirical":[149],"study":[150],"on":[151],"two":[152],"selection":[155],"data":[156],"sets":[157],"indicates":[158],"that":[159],"our":[160],"proposed":[161],"model":[162],"achieves":[163],"new":[165],"state-of-the-art":[166],"result.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-08-22T00:00:00"}
