{"id":"https://openalex.org/W2952723239","doi":"https://doi.org/10.18653/v1/p19-1371","title":"Learning to Abstract for Memory-augmented Conversational Response Generation","display_name":"Learning to Abstract for Memory-augmented Conversational Response Generation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952723239","doi":"https://doi.org/10.18653/v1/p19-1371","mag":"2952723239"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1371","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1371","pdf_url":"https://www.aclweb.org/anthology/P19-1371.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1371.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062005460","display_name":"Zhiliang Tian","orcid":"https://orcid.org/0000-0002-8906-5198"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiliang Tian","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","HKUST-Xiaoi Joint Lab, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"HKUST-Xiaoi Joint Lab, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101671512","display_name":"Wei Bi","orcid":"https://orcid.org/0000-0001-8457-0630"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Bi","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026532411","display_name":"Xiaopeng Li","orcid":"https://orcid.org/0000-0003-4916-1131"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaopeng Li","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","HKUST-Xiaoi Joint Lab, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"HKUST-Xiaoi Joint Lab, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070840566","display_name":"Nevin L. Zhang","orcid":"https://orcid.org/0000-0002-4662-3217"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Nevin L. Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","HKUST-Xiaoi Joint Lab, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"HKUST-Xiaoi Joint Lab, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070840566"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":4.4806,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95639091,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3816","last_page":"3825"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.845417857170105},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.839227020740509},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.834506094455719},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5853384137153625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5229818820953369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4520818591117859},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4224848747253418}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.845417857170105},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.839227020740509},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.834506094455719},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5853384137153625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5229818820953369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4520818591117859},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4224848747253418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":2,"locations":[{"id":"doi:10.18653/v1/p19-1371","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1371","pdf_url":"https://www.aclweb.org/anthology/P19-1371.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ust.hk:1783.1-100689","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000493046106030","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1371","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1371","pdf_url":"https://www.aclweb.org/anthology/P19-1371.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952723239.pdf","grobid_xml":"https://content.openalex.org/works/W2952723239.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W10957333","https://openalex.org/W295828404","https://openalex.org/W1522301498","https://openalex.org/W1958706068","https://openalex.org/W1959608418","https://openalex.org/W2101105183","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2159640018","https://openalex.org/W2339852062","https://openalex.org/W2561368124","https://openalex.org/W2605246398","https://openalex.org/W2741363662","https://openalex.org/W2756540778","https://openalex.org/W2757121784","https://openalex.org/W2767802162","https://openalex.org/W2781696492","https://openalex.org/W2786983967","https://openalex.org/W2798779216","https://openalex.org/W2809213523","https://openalex.org/W2883734480","https://openalex.org/W2890271771","https://openalex.org/W2891501508","https://openalex.org/W2962717182","https://openalex.org/W2962883855","https://openalex.org/W2963018920","https://openalex.org/W2963206148","https://openalex.org/W2963371754","https://openalex.org/W2963520511","https://openalex.org/W2963789888","https://openalex.org/W2963903950","https://openalex.org/W2963963856","https://openalex.org/W2963986868","https://openalex.org/W2964077278","https://openalex.org/W2964092386","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W4289744173","https://openalex.org/W4300125564"],"related_works":["https://openalex.org/W2952723239","https://openalex.org/W1534961803","https://openalex.org/W4385473909","https://openalex.org/W2310403681","https://openalex.org/W4386494569","https://openalex.org/W4386524153","https://openalex.org/W4297630849","https://openalex.org/W4381247847","https://openalex.org/W4321153836","https://openalex.org/W3212218375"],"abstract_inverted_index":{"Neural":[0],"generative":[1,23,48,69],"models":[2,24,44,52],"for":[3,108],"open-domain":[4],"chit-chat":[5],"conversations":[6],"have":[7],"become":[8],"an":[9],"active":[10],"area":[11],"of":[12,42,58,99],"research":[13],"in":[14],"recent":[15],"years.":[16],"A":[17,34],"critical":[18],"issue":[19],"with":[20],"most":[21],"existing":[22],"is":[25],"that":[26,114],"the":[27,40,47,56,59,76,81,85,89],"generated":[28],"responses":[29],"lack":[30],"informativeness":[31],"and":[32,79,102],"diversity.":[33],"few":[35],"researchers":[36],"attempt":[37],"to":[38,45,73,84,87,104],"leverage":[39],"results":[41,112],"retrieval":[43,60],"strengthen":[46],"models,":[49],"but":[50],"these":[51,106],"are":[53],"limited":[54],"by":[55],"quality":[57],"results.":[61],"In":[62],"this":[63],"work,":[64],"we":[65],"propose":[66],"a":[67],"memory-augmented":[68],"model,":[70],"which":[71],"learns":[72,103],"abstract":[74],"from":[75],"training":[77],"corpus":[78],"saves":[80],"useful":[82],"information":[83],"memory":[86],"assist":[88],"response":[90,109],"generation.":[91,110],"Our":[92],"model":[93,116],"clusters":[94],"query-response":[95],"samples,":[96],"extracts":[97],"characteristics":[98,107],"each":[100],"cluster,":[101],"utilize":[105],"Experimental":[111],"show":[113],"our":[115],"outperforms":[117],"other":[118],"competitive":[119],"baselines.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}