{"id":"https://openalex.org/W3211013666","doi":"https://doi.org/10.1145/3459637.3482111","title":"GGP","display_name":"GGP","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3211013666","doi":"https://doi.org/10.1145/3459637.3482111","mag":"3211013666"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482111","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482111","pdf_url":null,"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 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3459637.3482111","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076847458","display_name":"Xuming Lin","orcid":"https://orcid.org/0009-0002-3469-1172"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuming Lin","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080003499","display_name":"Shaobo Cui","orcid":"https://orcid.org/0000-0001-7934-5738"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Cui","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058996194","display_name":"Zhongzhou Zhao","orcid":"https://orcid.org/0000-0002-3519-6301"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzhou Zhao","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103055028","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0002-7355-6777"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101787171","display_name":"Ji Zhang","orcid":"https://orcid.org/0000-0001-6141-239X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Zhang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018390407","display_name":"Haiqing Chen","orcid":"https://orcid.org/0000-0002-8245-6145"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqing Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076847458"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56313716,"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":"3253","last_page":"3257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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":0.9995999932289124,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9934999942779541,"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/text-generation","display_name":"Text generation","score":0.9140053987503052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8161336183547974},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.5963078141212463},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5872853994369507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5831372737884521},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.547062873840332},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5038911700248718},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4602782428264618},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.41061410307884216},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4102398157119751},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3639177083969116},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22250142693519592},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.10255500674247742}],"concepts":[{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.9140053987503052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161336183547974},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.5963078141212463},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5872853994369507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5831372737884521},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.547062873840332},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5038911700248718},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4602782428264618},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.41061410307884216},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4102398157119751},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3639177083969116},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22250142693519592},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.10255500674247742},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482111","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482111","pdf_url":null,"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 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3459637.3482111","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482111","pdf_url":null,"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 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2164079290","https://openalex.org/W2561658355","https://openalex.org/W2928773704","https://openalex.org/W2963592583","https://openalex.org/W3011309387","https://openalex.org/W3034987089","https://openalex.org/W3105157853"],"related_works":["https://openalex.org/W2381278952","https://openalex.org/W2146449547","https://openalex.org/W618994464","https://openalex.org/W4287812620","https://openalex.org/W3019906500","https://openalex.org/W2171759076","https://openalex.org/W4285816270","https://openalex.org/W2573463306","https://openalex.org/W67826833","https://openalex.org/W1816112200"],"abstract_inverted_index":{"Existing":[0],"data-driven":[1],"methods":[2,30],"can":[3,123],"well":[4],"handle":[5],"short":[6],"text":[7,23,106,127],"generation.":[8],"However,":[9],"when":[10],"applied":[11],"to":[12,132],"the":[13,26,49,95,110,125],"long-text":[14],"generation":[15,20,24,107,128],"scenarios":[16],"such":[17],"as":[18],"story":[19],"or":[21],"advertising":[22],"in":[25,135],"commercial":[27],"scenario,":[28],"these":[29,39,63,77,84],"may":[31],"generate":[32,94],"illogical":[33],"and":[34,70,109,134],"uncontrollable":[35],"texts.":[36],"To":[37],"address":[38],"aforementioned":[40],"issues,":[41],"we":[42,81,93],"propose":[43],"a":[44,55,66,71,87],"graph-based":[45,73],"grouping":[46],"planner~(GGP)":[47],"following":[48],"idea":[50],"of":[51,57],"first-plan-then-generate.":[52],"Specifically,":[53],"given":[54],"collection":[56],"key":[58],"phrases,":[59],"GGP":[60,115,122],"firstly":[61],"encodes":[62],"phrases":[64,85],"into":[65,86],"instance-level":[67],"sequential":[68],"representation":[69,74],"corpus-level":[72],"separately.":[75],"With":[76],"two":[78],"synergic":[79],"representations,":[80],"then":[82],"regroup":[83],"fine-grained":[88],"plan,":[89],"based":[90],"on":[91,103],"which":[92,119],"final":[96],"long":[97,105,126],"text.":[98],"We":[99],"conduct":[100],"our":[101],"experiments":[102],"three":[104],"datasets":[108],"experimental":[111],"results":[112],"reveal":[113],"that":[114,121],"significantly":[116],"outperforms":[117],"baselines,":[118],"proves":[120],"control":[124],"with":[129],"knowing":[130],"how":[131],"say":[133],"what":[136],"order.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-11-08T00:00:00"}
