{"id":"https://openalex.org/W2798385473","doi":"https://doi.org/10.1145/3209978.3210061","title":"Chat More","display_name":"Chat More","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798385473","doi":"https://doi.org/10.1145/3209978.3210061","mag":"2798385473"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","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/A5100368524","display_name":"Wenjie Wang","orcid":"https://orcid.org/0000-0002-5199-1428"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjie Wang","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044042138","display_name":"Minlie Huang","orcid":"https://orcid.org/0000-0001-7111-1849"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minlie Huang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086235570","display_name":"Xin-Shun Xu","orcid":"https://orcid.org/0000-0001-9972-7370"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Shun Xu","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492050","display_name":"Fumin Shen","orcid":"https://orcid.org/0000-0001-7303-3231"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038612499","display_name":"Liqiang Nie","orcid":"https://orcid.org/0000-0003-1476-0273"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Nie","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100368524"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":7.6555,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.97782779,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9948999881744385,"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":0.8672360777854919},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.8426810503005981},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6646104454994202},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5921671390533447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5674504637718201},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5076230764389038},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5068181157112122},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.49169522523880005},{"id":"https://openalex.org/keywords/boom","display_name":"Boom","score":0.47209352254867554},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.4335760176181793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41993483901023865},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.418639600276947},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3771687150001526},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17758971452713013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8672360777854919},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.8426810503005981},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6646104454994202},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5921671390533447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5674504637718201},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5076230764389038},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5068181157112122},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.49169522523880005},{"id":"https://openalex.org/C141441539","wikidata":"https://www.wikidata.org/wiki/Q1970908","display_name":"Boom","level":2,"score":0.47209352254867554},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.4335760176181793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41993483901023865},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.418639600276947},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3771687150001526},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17758971452713013},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3209978.3210061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3210061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W10957333","https://openalex.org/W889023230","https://openalex.org/W1518951372","https://openalex.org/W1910529161","https://openalex.org/W1958706068","https://openalex.org/W1965667542","https://openalex.org/W2013787102","https://openalex.org/W2013822448","https://openalex.org/W2050398269","https://openalex.org/W2067970404","https://openalex.org/W2101105183","https://openalex.org/W2102531443","https://openalex.org/W2120589136","https://openalex.org/W2121887197","https://openalex.org/W2133564696","https://openalex.org/W2159640018","https://openalex.org/W2251235149","https://openalex.org/W2328886022","https://openalex.org/W2339852062","https://openalex.org/W2340944142","https://openalex.org/W2410983263","https://openalex.org/W2418993857","https://openalex.org/W2739634080","https://openalex.org/W2761590056","https://openalex.org/W2765757915","https://openalex.org/W2891416139","https://openalex.org/W2949888546","https://openalex.org/W2962676842","https://openalex.org/W2962854379","https://openalex.org/W2963035145","https://openalex.org/W2963790827"],"related_works":["https://openalex.org/W48079147","https://openalex.org/W2394821827","https://openalex.org/W326836678","https://openalex.org/W2563921006","https://openalex.org/W1963944933","https://openalex.org/W2111550420","https://openalex.org/W1977846844","https://openalex.org/W2549666521","https://openalex.org/W3133893348","https://openalex.org/W2901575119"],"abstract_inverted_index":{"The":[0,82],"past":[1],"decade":[2],"has":[3],"witnessed":[4],"the":[5,19,48,86,91,94,106,113,117,137,172,192],"boom":[6],"of":[7,21,73,139,194],"human-machine":[8],"interactions,":[9],"particularly":[10],"via":[11],"dialog":[12,27,38],"systems.":[13,28],"In":[14],"this":[15,63,65],"paper,":[16],"we":[17,151],"study":[18],"task":[20],"response":[22],"generation":[23],"in":[24,51,112],"open-domain":[25],"multi-turn":[26],"Many":[29],"research":[30],"efforts":[31],"have":[32],"been":[33],"dedicated":[34],"to":[35,59,104,125,143,155],"building":[36],"intelligent":[37],"systems,":[39],"yet":[40],"few":[41],"shed":[42],"light":[43],"on":[44,163],"deepening":[45,191],"or":[46,190],"widening":[47,189],"chatting":[49],"topics":[50,193],"a":[52,68,121,175],"conversational":[53],"session,":[54],"which":[55],"would":[56],"attract":[57],"users":[58],"talk":[60],"more.":[61],"To":[62,147],"end,":[64],"paper":[66],"presents":[67],"novel":[69],"deep":[70,80,118],"scheme":[71,135],"consisting":[72],"three":[74,141],"channels,":[75],"namely":[76],"global,":[77],"wide,":[78],"and":[79,116,171],"ones.":[81],"global":[83],"channel":[84],"encodes":[85],"complete":[87],"historical":[88,114],"information":[89],"within":[90],"given":[92],"context,":[93,115],"wide":[95],"one":[96,119,166],"employs":[97],"an":[98,130],"attention-based":[99],"recurrent":[100],"neural":[101],"network":[102],"model":[103,124,158,184],"predict":[105],"keywords":[107,128],"that":[108,182],"may":[109],"not":[110],"appear":[111],"trains":[120],"Multi-layer":[122],"Perceptron":[123],"select":[126],"some":[127],"for":[129],"in-depth":[131],"discussion.":[132],"Thereafter,":[133],"our":[134,149,157,183],"integrates":[136],"outputs":[138],"these":[140],"channels":[142],"generate":[144],"desired":[145],"responses.":[146],"justify":[148],"model,":[150],"conducted":[152],"extensive":[153],"experiments":[154],"compare":[156],"with":[159],"several":[160],"state-of-the-art":[161],"baselines":[162],"two":[164],"datasets:":[165],"is":[167,174],"constructed":[168],"by":[169,188],"ourselves":[170],"other":[173],"public":[176],"benchmark":[177],"dataset.":[178],"Experimental":[179],"results":[180],"demonstrate":[181],"yields":[185],"promising":[186],"performance":[187],"interest.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-05-07T00:00:00"}
