{"id":"https://openalex.org/W2962808855","doi":"https://doi.org/10.24963/ijcai.2018/570","title":"Reinforced Mnemonic Reader for Machine Reading Comprehension","display_name":"Reinforced Mnemonic Reader for Machine Reading Comprehension","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2962808855","doi":"https://doi.org/10.24963/ijcai.2018/570","mag":"2962808855"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/570","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/570","pdf_url":"https://www.ijcai.org/proceedings/2018/0570.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0570.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101814774","display_name":"Minghao Hu","orcid":"https://orcid.org/0000-0002-5002-3724"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Hu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645557","display_name":"Yuxing Peng","orcid":"https://orcid.org/0000-0002-8223-5588"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxing Peng","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011008665","display_name":"Zhen Huang","orcid":"https://orcid.org/0000-0003-4819-373X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Huang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044665993","display_name":"Xipeng Qiu","orcid":"https://orcid.org/0000-0001-7163-5247"},"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"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xipeng Qiu","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China","Microsoft Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014662947","display_name":"Furu Wei","orcid":"https://orcid.org/0000-0002-7810-5852"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Furu Wei","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701572","display_name":"Ming Zhou","orcid":"https://orcid.org/0000-0002-2551-2964"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhou","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.6562,"has_fulltext":false,"cited_by_count":189,"citation_normalized_percentile":{"value":0.99242348,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4099","last_page":"4106"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976000189781189,"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":0.8429348468780518},{"id":"https://openalex.org/keywords/mnemonic","display_name":"Mnemonic","score":0.7850555181503296},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7265613079071045},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6110431551933289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.609154999256134},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5677741765975952},{"id":"https://openalex.org/keywords/reading-comprehension","display_name":"Reading comprehension","score":0.49186253547668457},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.4466283619403839},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4465312361717224},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4229498505592346},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.400615394115448},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35175150632858276},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07698243856430054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8429348468780518},{"id":"https://openalex.org/C197792726","wikidata":"https://www.wikidata.org/wiki/Q191062","display_name":"Mnemonic","level":2,"score":0.7850555181503296},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7265613079071045},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6110431551933289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.609154999256134},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5677741765975952},{"id":"https://openalex.org/C2778780117","wikidata":"https://www.wikidata.org/wiki/Q3269423","display_name":"Reading comprehension","level":3,"score":0.49186253547668457},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.4466283619403839},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4465312361717224},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4229498505592346},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.400615394115448},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35175150632858276},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07698243856430054},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/570","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/570","pdf_url":"https://www.ijcai.org/proceedings/2018/0570.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/570","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/570","pdf_url":"https://www.ijcai.org/proceedings/2018/0570.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3036662534","display_name":null,"funder_award_id":"2014CB340303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962808855.pdf","grobid_xml":"https://content.openalex.org/works/W2962808855.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2095705004","https://openalex.org/W2126209950","https://openalex.org/W2133564696","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2516930406","https://openalex.org/W2551396370","https://openalex.org/W2552027021","https://openalex.org/W2594625132","https://openalex.org/W2626154462","https://openalex.org/W2740747242","https://openalex.org/W2750557179","https://openalex.org/W2766371743","https://openalex.org/W2770970123","https://openalex.org/W2949615363","https://openalex.org/W2962985038","https://openalex.org/W2963084599","https://openalex.org/W2963677766","https://openalex.org/W2963748441","https://openalex.org/W2963769536","https://openalex.org/W2963969878","https://openalex.org/W4214717370","https://openalex.org/W4394643672"],"related_works":["https://openalex.org/W602798270","https://openalex.org/W2073343790","https://openalex.org/W24013143","https://openalex.org/W2563376754","https://openalex.org/W2164915153","https://openalex.org/W4233085660","https://openalex.org/W2083884112","https://openalex.org/W2006979967","https://openalex.org/W1984983501","https://openalex.org/W3204926555"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"the":[5,51,72,89,102],"Reinforced":[6],"Mnemonic":[7],"Reader":[8],"for":[9],"machine":[10],"reading":[11],"comprehension":[12],"tasks,":[13],"which":[14],"enhances":[15],"previous":[16,119],"attentive":[17],"readers":[18],"in":[19,42,94,124],"two":[20,134],"aspects.":[21],"First,":[22],"a":[23,43,60,81],"reattention":[24],"mechanism":[25],"is":[26,68],"proposed":[27],"to":[28,35,49,70,79,87],"refine":[29],"current":[30],"attentions":[31,37],"by":[32,121],"directly":[33],"accessing":[34],"past":[36],"that":[38,109],"are":[39],"temporally":[40],"memorized":[41],"multi-round":[44],"alignment":[45],"architecture,":[46],"so":[47,85],"as":[48,86],"avoid":[50],"problems":[52],"of":[53,126],"attention":[54,57],"redundancy":[55],"and":[56,130],"deficiency.":[58],"Second,":[59],"new":[61],"optimization":[62],"approach,":[63],"called":[64],"dynamic-critical":[65],"reinforcement":[66,96],"learning,":[67],"introduced":[69],"extend":[71],"standard":[73],"supervised":[74],"method.":[75],"It":[76],"always":[77],"encourages":[78],"predict":[80],"more":[82],"acceptable":[83],"answer":[84],"address":[88],"convergence":[90],"suppression":[91],"problem":[92],"occurred":[93],"traditional":[95],"learning":[97],"algorithms.":[98],"Extensive":[99],"experiments":[100],"on":[101,133],"Stanford":[103],"Question":[104],"Answering":[105],"Dataset":[106],"(SQuAD)":[107],"show":[108],"our":[110,116],"model":[111,117],"achieves":[112],"state-of-the-art":[113],"results.":[114],"Meanwhile,":[115],"outperforms":[118],"systems":[120],"over":[122],"6%":[123],"terms":[125],"both":[127],"Exact":[128],"Match":[129],"F1":[131],"metrics":[132],"adversarial":[135],"SQuAD":[136],"datasets.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":39},{"year":2019,"cited_by_count":72},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
