{"id":"https://openalex.org/W3081225796","doi":"https://doi.org/10.1145/3404555.3404605","title":"Multi-Hop Memory Network with Graph Neural Networks Encoding for Proactive Dialogue","display_name":"Multi-Hop Memory Network with Graph Neural Networks Encoding for Proactive Dialogue","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3081225796","doi":"https://doi.org/10.1145/3404555.3404605","mag":"3081225796"},"language":"en","primary_location":{"id":"doi:10.1145/3404555.3404605","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","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/A5051474344","display_name":"Hao Yuan","orcid":"https://orcid.org/0000-0001-5270-2782"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yuan","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089414487","display_name":"Jinqi An","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqi An","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2708,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64421971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9976000189781189,"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":0.8104616403579712},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6336478590965271},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.547844648361206},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5058014392852783},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44548124074935913},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41476643085479736},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3354588747024536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21692106127738953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104616403579712},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6336478590965271},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.547844648361206},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5058014392852783},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44548124074935913},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41476643085479736},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3354588747024536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21692106127738953}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404555.3404605","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1793121960","https://openalex.org/W1924770834","https://openalex.org/W1975244201","https://openalex.org/W2116341502","https://openalex.org/W2605304074","https://openalex.org/W2774343269","https://openalex.org/W2798749466","https://openalex.org/W2891389695","https://openalex.org/W2945594170","https://openalex.org/W2949769095","https://openalex.org/W2951105272","https://openalex.org/W2951515642","https://openalex.org/W2962883855","https://openalex.org/W2963395792","https://openalex.org/W2963406064","https://openalex.org/W2963560082","https://openalex.org/W2963789888","https://openalex.org/W2963963856","https://openalex.org/W3106460253","https://openalex.org/W6600175266","https://openalex.org/W6601010567","https://openalex.org/W6605540949","https://openalex.org/W6643477912"],"related_works":["https://openalex.org/W2130966263","https://openalex.org/W2389073067","https://openalex.org/W2176893360","https://openalex.org/W2386387936","https://openalex.org/W250853007","https://openalex.org/W2152483569","https://openalex.org/W2952964201","https://openalex.org/W3133995681","https://openalex.org/W4286791889","https://openalex.org/W2960216239"],"abstract_inverted_index":{"Dialogue":[0],"system":[1],"has":[2],"made":[3],"great":[4,30],"progress":[5],"recently,":[6],"but":[7],"it":[8],"is":[9,28],"still":[10],"in":[11],"the":[12,74,79,86,111],"initial":[13],"stage":[14],"of":[15,102],"passive":[16],"reply.":[17],"How":[18],"to":[19,51,62,72,84],"build":[20],"a":[21,29,68],"dialogue":[22,37,75],"model":[23,38,98],"with":[24],"proactive":[25],"reply":[26],"ability":[27,90],"challenge.":[31],"This":[32],"paper":[33],"proposes":[34],"an":[35],"End-to-End":[36],"based":[39],"on":[40],"Memory":[41],"network":[42,50],"and":[43,55,57,108],"Graph":[44,59],"Neural":[45,60],"Network,":[46],"which":[47],"uses":[48,58],"memory":[49],"store":[52],"conversation":[53],"history":[54],"knowledge,":[56],"Network":[61],"encode":[63],"background":[64],"knowledge.":[65],"We":[66],"propose":[67],"soft":[69],"weighting":[70],"mechanism":[71],"integrate":[73],"goal":[76],"information":[77],"into":[78],"query":[80],"pointer,":[81],"so":[82],"as":[83],"enhance":[85],"dynamic":[87],"topic":[88],"transfer":[89],"during":[91],"decoding.":[92],"Experimental":[93],"results":[94],"indicate":[95],"that":[96],"our":[97],"outperforms":[99],"various":[100],"kinds":[101],"generation":[103],"models":[104],"under":[105],"automatic":[106],"evaluations":[107],"can":[109],"accomplish":[110],"conversational":[112],"target":[113],"more":[114],"actively":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}