{"id":"https://openalex.org/W2953035981","doi":"https://doi.org/10.18653/v1/p19-1256","title":"A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation","display_name":"A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953035981","doi":"https://doi.org/10.18653/v1/p19-1256","mag":"2953035981"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1256","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1256","pdf_url":"https://www.aclweb.org/anthology/P19-1256.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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1256.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112448786","display_name":"Feng Nie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Nie","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054455207","display_name":"Jin-Ge Yao","orcid":null},"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":"Jin-Ge Yao","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376310","display_name":"Jinpeng Wang","orcid":"https://orcid.org/0000-0001-6127-9146"},"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":"Jinpeng Wang","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075012459","display_name":"Rong Pan","orcid":"https://orcid.org/0000-0001-5171-8248"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rong Pan","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090151187","display_name":"Chin-Yew Lin","orcid":"https://orcid.org/0000-0002-0798-6365"},"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":"Chin-Yew Lin","raw_affiliation_strings":["Microsoft Research Asia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":67,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2673","last_page":"2679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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":0.993399977684021,"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":0.9538000226020813,"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":0.7500259876251221},{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.6973298192024231},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6579761505126953},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6547061204910278},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6132259368896484},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5282741189002991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5130518674850464},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.5049708485603333},{"id":"https://openalex.org/keywords/realisation","display_name":"Realisation","score":0.4909522831439972},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47958436608314514},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4575466513633728},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.43026870489120483},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4143616259098053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.340669184923172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11535707116127014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07867085933685303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500259876251221},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.6973298192024231},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6579761505126953},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6547061204910278},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6132259368896484},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5282741189002991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5130518674850464},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5049708485603333},{"id":"https://openalex.org/C2779462738","wikidata":"https://www.wikidata.org/wiki/Q17146409","display_name":"Realisation","level":2,"score":0.4909522831439972},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47958436608314514},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4575466513633728},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.43026870489120483},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4143616259098053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.340669184923172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11535707116127014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07867085933685303},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1256","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1256","pdf_url":"https://www.aclweb.org/anthology/P19-1256.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/p19-1256","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1256","pdf_url":"https://www.aclweb.org/anthology/P19-1256.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":[{"id":"https://metadata.un.org/sdg/4","score":0.5600000023841858,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953035981.pdf","grobid_xml":"https://content.openalex.org/works/W2953035981.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1948566616","https://openalex.org/W2101105183","https://openalex.org/W2250539671","https://openalex.org/W2556468274","https://openalex.org/W2589218480","https://openalex.org/W2606974598","https://openalex.org/W2613898922","https://openalex.org/W2739046565","https://openalex.org/W2798367796","https://openalex.org/W2806532810","https://openalex.org/W2889587596","https://openalex.org/W2896780650","https://openalex.org/W2962729880","https://openalex.org/W2962905474","https://openalex.org/W2963014658","https://openalex.org/W2963415248","https://openalex.org/W2963672599","https://openalex.org/W2963797754","https://openalex.org/W2963910262","https://openalex.org/W2964165364"],"related_works":["https://openalex.org/W3204676188","https://openalex.org/W4378771713","https://openalex.org/W2961288924","https://openalex.org/W2992803471","https://openalex.org/W2066036438","https://openalex.org/W2810895613","https://openalex.org/W2312876277","https://openalex.org/W2930227984","https://openalex.org/W4224026286","https://openalex.org/W1586382855"],"abstract_inverted_index":{"Recent":[0],"neural":[1,85],"language":[2,36],"generation":[3],"systems":[4],"often":[5],"hallucinate":[6],"contents":[7],"(i.e.,":[8],"producing":[9],"irrelevant":[10],"or":[11],"contradicted":[12],"facts),":[13],"especially":[14],"when":[15],"trained":[16,88],"on":[17,59,89,95],"loosely":[18],"corresponding":[19],"pairs":[20],"of":[21],"the":[22,51,55,60,78,90,100],"input":[23,52],"structure":[24],"and":[25,54],"text.":[26,57],"To":[27],"mitigate":[28],"this":[29],"issue,":[30],"we":[31],"propose":[32],"to":[33,45],"integrate":[34],"a":[35],"understanding":[37],"module":[38],"for":[39],"data":[40,53,92],"refinement":[41],"with":[42,99],"selftraining":[43],"iterations":[44],"effectively":[46],"induce":[47],"strong":[48],"equivalence":[49],"between":[50],"paired":[56],"Experiments":[58],"E2E":[61],"challenge":[62],"dataset":[63],"show":[64],"that":[65],"our":[66],"proposed":[67],"framework":[68],"can":[69],"reduce":[70],"more":[71],"than":[72],"50%":[73],"relative":[74],"unaligned":[75],"noise":[76],"from":[77],"original":[79],"data-text":[80],"pairs.":[81],"A":[82],"vanilla":[83],"sequence-to-sequence":[84],"NLG":[86],"model":[87],"refined":[91],"has":[93],"improved":[94],"content":[96],"correctness":[97],"compared":[98],"current":[101],"state-of-the-art":[102],"ensemble":[103],"generator.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
