{"id":"https://openalex.org/W2949963192","doi":"https://doi.org/10.18653/v1/p19-1240","title":"Topic-Aware Neural Keyphrase Generation for Social Media Language","display_name":"Topic-Aware Neural Keyphrase Generation for Social Media Language","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949963192","doi":"https://doi.org/10.18653/v1/p19-1240","mag":"2949963192"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1240","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1240","pdf_url":"https://www.aclweb.org/anthology/P19-1240.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":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1240.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046101879","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-4272-3448"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336998","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-8044-2284"},"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":"Jing Li","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/A5101761759","display_name":"Hou Pong Chan","orcid":"https://orcid.org/0000-0001-9207-4178"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hou Pong Chan","raw_affiliation_strings":["Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069596903","display_name":"Michael R. Lyu","orcid":"https://orcid.org/0000-0002-3666-5798"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Michael R. Lyu","raw_affiliation_strings":["Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering The Chinese University of Hong Kong, HKSAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087920747","display_name":"Shuming Shi","orcid":"https://orcid.org/0000-0001-7018-0682"},"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":"Shuming Shi","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046101879"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":7.0712,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.97541499,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2516","last_page":"2526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.882850706577301},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.768905758857727},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6821500062942505},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.651954710483551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6286004781723022},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6260589361190796},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4791224002838135},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4251308739185333},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21601301431655884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.882850706577301},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.768905758857727},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6821500062942505},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.651954710483551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6286004781723022},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6260589361190796},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4791224002838135},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4251308739185333},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21601301431655884},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1240","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1240","pdf_url":"https://www.aclweb.org/anthology/P19-1240.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"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1240","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1240","pdf_url":"https://www.aclweb.org/anthology/P19-1240.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":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949963192.pdf","grobid_xml":"https://content.openalex.org/works/W2949963192.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W32253530","https://openalex.org/W1500117362","https://openalex.org/W1522301498","https://openalex.org/W1525595230","https://openalex.org/W1714665356","https://openalex.org/W1880262756","https://openalex.org/W1956559956","https://openalex.org/W1959608418","https://openalex.org/W2030903088","https://openalex.org/W2038043464","https://openalex.org/W2043775452","https://openalex.org/W2045181608","https://openalex.org/W2060772621","https://openalex.org/W2069516633","https://openalex.org/W2156876426","https://openalex.org/W2157331557","https://openalex.org/W2163659824","https://openalex.org/W2566480286","https://openalex.org/W2604912255","https://openalex.org/W2606974598","https://openalex.org/W2621133045","https://openalex.org/W2750747353","https://openalex.org/W2803364587","https://openalex.org/W2888766462","https://openalex.org/W2891585127","https://openalex.org/W2896308983","https://openalex.org/W2899771611","https://openalex.org/W2921642681","https://openalex.org/W2932847124","https://openalex.org/W2946404599","https://openalex.org/W2950635152","https://openalex.org/W2952478253","https://openalex.org/W2962755817","https://openalex.org/W2963022218","https://openalex.org/W2963265326","https://openalex.org/W2963531963","https://openalex.org/W2964121744","https://openalex.org/W3101380508","https://openalex.org/W4231510805","https://openalex.org/W4297805475"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2122605835"],"abstract_inverted_index":{"A":[0],"huge":[1],"volume":[2],"of":[3,63],"user-generated":[4],"content":[5],"is":[6],"daily":[7],"produced":[8],"on":[9,82],"social":[10,78,90,125],"media.":[11],"To":[12],"facilitate":[13],"automatic":[14],"language":[15],"understanding,":[16],"we":[17,39],"study":[18],"keyphrase":[19,46,127],"prediction,":[20],"distilling":[21],"salient":[22],"information":[23],"from":[24,33,86],"massive":[25],"posts.":[26],"While":[27],"most":[28],"existing":[29],"methods":[30],"extract":[31],"words":[32],"source":[34],"posts":[35],"to":[36,52],"form":[37],"keyphrases,":[38],"propose":[40],"a":[41],"sequence-to-sequence":[42],"(seq2seq)":[43],"based":[44],"neural":[45],"generation":[47,102],"framework,":[48],"enabling":[49],"absent":[50],"keyphrases":[51],"be":[53],"created.":[54],"Moreover,":[55],"our":[56,95,115],"model,":[57],"being":[58],"topic-aware,":[59],"allows":[60],"joint":[61],"modeling":[62],"corpus-level":[64],"latent":[65,108],"topic":[66],"representations,":[67],"which":[68,120],"helps":[69],"alleviate":[70],"the":[71],"data":[72],"sparsity":[73],"that":[74,94,104,114],"widely":[75],"exhibited":[76],"in":[77,124],"media":[79,91,126],"language.":[80],"Experiments":[81],"three":[83],"datasets":[84],"collected":[85],"English":[87],"and":[88,101],"Chinese":[89],"platforms":[92],"show":[93,113],"model":[96,116],"significantly":[97],"outperforms":[98],"both":[99],"extraction":[100],"models":[103],"do":[105],"not":[106],"exploit":[107],"topics.":[109],"1":[110],"Further":[111],"discussions":[112],"learns":[117],"meaningful":[118],"topics,":[119],"interprets":[121],"its":[122],"superiority":[123],"generation.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}