{"id":"https://openalex.org/W2904146647","doi":"https://doi.org/10.1609/aaai.v33i01.33017168","title":"A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation","display_name":"A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904146647","doi":"https://doi.org/10.1609/aaai.v33i01.33017168","mag":"2904146647"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33017168","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017168","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4700/4578","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4700/4578","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100440548","display_name":"Siyuan Wang","orcid":"https://orcid.org/0000-0002-5036-0608"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siyuan Wang","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011504177","display_name":"Zhongyu Wei","orcid":"https://orcid.org/0000-0003-3789-8507"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyu Wei","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078689432","display_name":"Zhihao Fan","orcid":"https://orcid.org/0000-0002-9910-7937"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Fan","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Liulishuo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liulishuo","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100440548"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":4.6543,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.94984802,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"7168","last_page":"7175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9988999962806702,"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":0.8147382736206055},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7962881326675415},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6611053943634033},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5820953249931335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5794429183006287},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5741536617279053},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.47488874197006226},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.46715348958969116},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.231696218252182},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05935904383659363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8147382736206055},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7962881326675415},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6611053943634033},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5820953249931335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5794429183006287},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5741536617279053},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.47488874197006226},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.46715348958969116},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.231696218252182},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05935904383659363},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33017168","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017168","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4700/4578","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33017168","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017168","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4700/4578","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4666185321","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G6142973028","display_name":null,"funder_award_id":"17JC1420200","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7475107363","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904146647.pdf","grobid_xml":"https://content.openalex.org/works/W2904146647.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1531374185","https://openalex.org/W1902237438","https://openalex.org/W1940872118","https://openalex.org/W2101105183","https://openalex.org/W2120764338","https://openalex.org/W2123301721","https://openalex.org/W2133564696","https://openalex.org/W2154652894","https://openalex.org/W2250539671","https://openalex.org/W2275056699","https://openalex.org/W2296283641","https://openalex.org/W2507756961","https://openalex.org/W2516930406","https://openalex.org/W2579549467","https://openalex.org/W2606333299","https://openalex.org/W2610986956","https://openalex.org/W2622069672","https://openalex.org/W2624022918","https://openalex.org/W2626182443","https://openalex.org/W2757715585","https://openalex.org/W2757978590","https://openalex.org/W2771857412","https://openalex.org/W2789831953","https://openalex.org/W2794945088","https://openalex.org/W2808021740","https://openalex.org/W2825507547","https://openalex.org/W2949335953","https://openalex.org/W2962717047","https://openalex.org/W2962970841","https://openalex.org/W2963385935","https://openalex.org/W2963542836","https://openalex.org/W2963748441","https://openalex.org/W2963769536","https://openalex.org/W2964304126","https://openalex.org/W2964308564","https://openalex.org/W2964338167","https://openalex.org/W6682631176","https://openalex.org/W6688979741","https://openalex.org/W6691431627","https://openalex.org/W6697155078","https://openalex.org/W6718053083","https://openalex.org/W6725207838","https://openalex.org/W6732298944","https://openalex.org/W6744249386","https://openalex.org/W6898505805","https://openalex.org/W6922068600"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W2012262991","https://openalex.org/W2373794620","https://openalex.org/W2357294589","https://openalex.org/W2386861027","https://openalex.org/W2060629350","https://openalex.org/W2349302580","https://openalex.org/W2390154576","https://openalex.org/W2082438799","https://openalex.org/W4245925686"],"abstract_inverted_index":{"Question":[0],"generation":[1,90],"aims":[2],"to":[3,51,65,122,134],"produce":[4],"questions":[5,72,145],"automatically":[6],"given":[7],"a":[8,17,22,35,81],"piece":[9],"of":[10,38,45,76,106,111,126],"text":[11],"as":[12,91],"input.":[13,28],"Existing":[14],"research":[15],"follows":[16],"sequence-to-sequence":[18],"fashion":[19],"that":[20],"constructs":[21],"single":[23],"question":[24,31,89,127,139],"based":[25],"on":[26,34],"the":[27,39,43,53,58,74,109,124],"Considering":[29],"each":[30],"usually":[32],"focuses":[33],"specific":[36],"fragment":[37],"input,":[40],"especially":[41],"in":[42],"scenario":[44],"reading":[46],"comprehension,":[47],"it":[48],"is":[49,132],"reasonable":[50],"identify":[52,66],"corresponding":[54],"focus":[55],"before":[56],"constructing":[57],"question.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,114],"propose":[64],"question-worthy":[67,117],"phrases":[68,141],"first":[69],"and":[70,88,94,142],"generate":[71,143],"with":[73],"assistance":[75],"these":[77,96],"phrases.":[78],"We":[79],"introduce":[80],"multi-agent":[82],"communication":[83],"framework,":[84],"taking":[85],"phrase":[86],"extraction":[87],"two":[92,97],"agents,":[93],"learn":[95],"tasks":[98],"simultaneously":[99],"via":[100],"message":[101],"passing":[102],"mechanism.":[103],"The":[104],"results":[105],"experiments":[107],"show":[108],"effectiveness":[110],"our":[112,130],"framework:":[113],"can":[115],"extract":[116,135],"phrases,":[118],"which":[119],"are":[120],"able":[121,133],"improve":[123],"performance":[125],"generation.":[128],"Besides,":[129],"system":[131],"more":[136],"than":[137],"one":[138],"worthy":[140],"multiple":[144],"accordingly.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
