{"id":"https://openalex.org/W2803299344","doi":"https://doi.org/10.18653/v1/n18-1017","title":"Natural Answer Generation with Heterogeneous Memory","display_name":"Natural Answer Generation with Heterogeneous Memory","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2803299344","doi":"https://doi.org/10.18653/v1/n18-1017","mag":"2803299344"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n18-1017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n18-1017","pdf_url":"https://www.aclweb.org/anthology/N18-1017.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 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N18-1017.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091640552","display_name":"Yao Fu","orcid":"https://orcid.org/0000-0002-8931-3665"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":false,"raw_author_name":"Yao Fu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102220317","display_name":"Yansong Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CN","CZ"],"is_corresponding":true,"raw_author_name":"Yansong Feng","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University The MOE Key Laboratory of Computational Linguistics, Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102220317"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210155092"],"apc_list":null,"apc_paid":null,"fwci":1.8109,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89400401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.882908821105957},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.6719813346862793},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.6454370617866516},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6267662048339844},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5479623079299927},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5430348515510559},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4707648754119873},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.45341429114341736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42132604122161865},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41219091415405273},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3665813207626343},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08304619789123535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.882908821105957},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.6719813346862793},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.6454370617866516},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6267662048339844},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5479623079299927},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5430348515510559},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4707648754119873},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.45341429114341736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42132604122161865},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41219091415405273},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3665813207626343},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08304619789123535},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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:10.18653/v1/n18-1017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n18-1017","pdf_url":"https://www.aclweb.org/anthology/N18-1017.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 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/n18-1017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n18-1017","pdf_url":"https://www.aclweb.org/anthology/N18-1017.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 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5700388915","display_name":"\u9762\u5411\u5f00\u653e\u57df\u77e5\u8bc6\u7f51\u7edc\u7684\u5b9e\u4f53\u8bed\u4e49\u5173\u7cfb\u62bd\u53d6\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61672057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7756186731","display_name":null,"funder_award_id":"2015AA015403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8874090203","display_name":"\u57fa\u4e8e\u5927\u89c4\u6a21\u77e5\u8bc6\u5e93\u7684\u95ee\u7b54\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672058","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2803299344.pdf","grobid_xml":"https://content.openalex.org/works/W2803299344.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1793121960","https://openalex.org/W1924770834","https://openalex.org/W1948566616","https://openalex.org/W2064675550","https://openalex.org/W2069238454","https://openalex.org/W2101105183","https://openalex.org/W2131494463","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2507756961","https://openalex.org/W2511945356","https://openalex.org/W2561658355","https://openalex.org/W2573462507","https://openalex.org/W2606974598","https://openalex.org/W2612675303","https://openalex.org/W2613904329","https://openalex.org/W2736472496","https://openalex.org/W2740107682","https://openalex.org/W2951008357","https://openalex.org/W2952136670","https://openalex.org/W2962805889","https://openalex.org/W2963217826","https://openalex.org/W2963260202","https://openalex.org/W2963448850","https://openalex.org/W2963546833","https://openalex.org/W2963768805","https://openalex.org/W2964091467","https://openalex.org/W2964121744","https://openalex.org/W2964165364","https://openalex.org/W2964210218","https://openalex.org/W2964265128","https://openalex.org/W2964298349","https://openalex.org/W2964308564","https://openalex.org/W4295249402","https://openalex.org/W4297779254"],"related_works":["https://openalex.org/W4223990875","https://openalex.org/W2050523636","https://openalex.org/W2152921782","https://openalex.org/W382594479","https://openalex.org/W2470045054","https://openalex.org/W2575772232","https://openalex.org/W2151245229","https://openalex.org/W2140902089","https://openalex.org/W2030298461","https://openalex.org/W3014316498"],"abstract_inverted_index":{"Memory":[0],"augmented":[1],"encoder-decoder":[2],"framework":[3],"has":[4,28],"achieved":[5],"promising":[6],"progress":[7],"for":[8,121],"natural":[9],"language":[10],"generation":[11,99],"tasks.":[12],"Such":[13],"frameworks":[14],"enable":[15],"a":[16,21,52],"decoder":[17,59],"to":[18,31,56,60,81,89,110],"retrieve":[19],"from":[20,38],"memory":[22,36,65,80,109],"during":[23],"generation.":[24],"However,":[25],"less":[26],"research":[27],"been":[29],"done":[30],"take":[32],"care":[33],"of":[34,44],"the":[35,58,64,76,96],"contents":[37],"different":[39],"sources,":[40],"which":[41],"are":[42],"often":[43],"heterogeneous":[45,108],"formats.":[46],"In":[47],"this":[48],"work,":[49],"we":[50],"propose":[51],"novel":[53],"attention":[54],"mechanism":[55],"encourage":[57],"actively":[61],"interact":[62],"with":[63],"by":[66],"taking":[67],"its":[68],"heterogeneity":[69],"into":[70],"account.":[71],"Our":[72],"solution":[73],"attends":[74],"across":[75],"generated":[77,92],"history":[78],"and":[79,85,113],"explicitly":[82],"avoid":[83],"repetition,":[84],"introduce":[86],"related":[87],"knowledge":[88],"enrich":[90],"our":[91,103],"sentences.":[93],"Experiments":[94],"on":[95],"answer":[97,115,123],"sentence":[98],"task":[100],"show":[101],"that":[102],"method":[104],"can":[105],"effectively":[106],"explore":[107],"produce":[111],"readable":[112],"meaningful":[114],"sentences":[116],"while":[117],"maintaining":[118],"high":[119],"coverage":[120],"given":[122],"information.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
