{"id":"https://openalex.org/W2799222453","doi":"https://doi.org/10.18653/v1/p18-1179","title":"Language Generation via DAG Transduction","display_name":"Language Generation via DAG Transduction","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2799222453","doi":"https://doi.org/10.18653/v1/p18-1179","mag":"2799222453"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1179","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1179","pdf_url":"https://www.aclweb.org/anthology/P18-1179.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-1179.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048195030","display_name":"Yajie Ye","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":false,"raw_author_name":"Yajie Ye","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":"middle","author":{"id":"https://openalex.org/A5103041485","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3219-8405"},"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":"Weiwei Sun","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/A5029568096","display_name":"Xiaojun Wan","orcid":"https://orcid.org/0000-0001-6887-1994"},"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":"Xiaojun Wan","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":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73008492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1928","last_page":"1937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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/T10260","display_name":"Software Engineering Research","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8081575632095337},{"id":"https://openalex.org/keywords/transducer","display_name":"Transducer","score":0.6815841794013977},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.6169177889823914},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5956873297691345},{"id":"https://openalex.org/keywords/transduction","display_name":"Transduction (biophysics)","score":0.540152907371521},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5278164148330688},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4125209152698517},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3634403645992279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35059964656829834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08473330736160278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8081575632095337},{"id":"https://openalex.org/C56318395","wikidata":"https://www.wikidata.org/wiki/Q215928","display_name":"Transducer","level":2,"score":0.6815841794013977},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.6169177889823914},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5956873297691345},{"id":"https://openalex.org/C15152581","wikidata":"https://www.wikidata.org/wiki/Q7833966","display_name":"Transduction (biophysics)","level":2,"score":0.540152907371521},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5278164148330688},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4125209152698517},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3634403645992279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35059964656829834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08473330736160278},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-1179","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1179","pdf_url":"https://www.aclweb.org/anthology/P18-1179.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1179","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1179","pdf_url":"https://www.aclweb.org/anthology/P18-1179.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3544945854","display_name":"\u591a\u8bed\u8a00\u73af\u5883\u4e0b\u6587\u672c\u60c5\u611f\u8bed\u4e49\u8ba1\u7b97\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5182775224","display_name":"\u8de8\u8bed\u8a00\u793e\u4f1a\u8206\u60c5\u5206\u6790\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61331011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6792277218","display_name":null,"funder_award_id":"61772036, 61331011","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799222453.pdf","grobid_xml":"https://content.openalex.org/works/W2799222453.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W158901886","https://openalex.org/W170175252","https://openalex.org/W1577544661","https://openalex.org/W1593799327","https://openalex.org/W1622302876","https://openalex.org/W1632114991","https://openalex.org/W1711163617","https://openalex.org/W1829867068","https://openalex.org/W1986543644","https://openalex.org/W2006406454","https://openalex.org/W2008652694","https://openalex.org/W2050852272","https://openalex.org/W2096871981","https://openalex.org/W2097606805","https://openalex.org/W2146629099","https://openalex.org/W2164259714","https://openalex.org/W2252123671","https://openalex.org/W2760664922","https://openalex.org/W2774310971","https://openalex.org/W2964035651","https://openalex.org/W2964116568","https://openalex.org/W3088131984","https://openalex.org/W4240963309"],"related_works":["https://openalex.org/W2890433954","https://openalex.org/W2053366384","https://openalex.org/W2012283803","https://openalex.org/W4384820447","https://openalex.org/W2072454424","https://openalex.org/W2117438306","https://openalex.org/W2185942010","https://openalex.org/W2260725127","https://openalex.org/W2004297762","https://openalex.org/W2242084152"],"abstract_inverted_index":{"A":[0],"DAG":[1,13,19,35,116],"automaton":[2,14],"is":[3,47,74],"a":[4,12,18,33,48,52,63,69,90,102,115],"formal":[5],"device":[6],"for":[7,77],"manipulating":[8],"graphs.":[9,85],"By":[10,60],"augmenting":[11],"with":[15],"transduction":[16],"rules,":[17],"transducer":[20,36,46,73,117],"has":[21],"potential":[22],"applications":[23],"in":[24],"fundamental":[25],"NLP":[26],"tasks.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31,65],"propose":[32],"novel":[34],"to":[37,118],"perform":[38],"graph-to-program":[39],"transformation.":[40],"The":[41],"target":[42],"structure":[43],"of":[44,92,105,113,126],"our":[45,98,127],"program":[49],"licensed":[50],"by":[51],"declarative":[53],"programming":[54],"language":[55,79],"rather":[56],"than":[57],"linguistic":[58],"structures.":[59],"executing":[61],"such":[62],"program,":[64],"can":[66],"easily":[67],"get":[68],"surface":[70],"string.":[71],"Our":[72],"designed":[75],"especially":[76],"natural":[78],"generation":[80],"(NLG)":[81],"from":[82],"type-logical":[83],"semantic":[84],"Taking":[86],"Elementary":[87],"Dependency":[88],"Structures,":[89],"format":[91],"English":[93],"Resource":[94],"Semantics,":[95],"as":[96,121,123],"input,":[97],"NLG":[99],"system":[100],"achieves":[101],"BLEU-4":[103],"score":[104],"68.07.":[106],"This":[107],"remarkable":[108],"result":[109],"demonstrates":[110],"the":[111,124],"feasibility":[112],"applying":[114],"resolve":[119],"NLG,":[120],"well":[122],"effectiveness":[125],"design.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}