{"id":"https://openalex.org/W3013703241","doi":"https://doi.org/10.1162/tacl_a_00358","title":"Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement","display_name":"Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3013703241","doi":"https://doi.org/10.1162/tacl_a_00358","mag":"3013703241"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00358","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00358","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00358/1924163/tacl_a_00358.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00358/1924163/tacl_a_00358.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Alireza Mohammadshahi","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Alireza Mohammadshahi","raw_affiliation_strings":["Idiap Research Institute / EPFL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute / EPFL","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":null,"display_name":"James Henderson","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"James Henderson","raw_affiliation_strings":["Idiap Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7495430"],"apc_list":null,"apc_paid":null,"fwci":0.4198,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67212118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"120","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8450999855995178,"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":0.8450999855995178,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.06859999895095825,"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":0.05220000073313713,"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/transformer","display_name":"Transformer","score":0.7930999994277954},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6998000144958496},{"id":"https://openalex.org/keywords/iterative-refinement","display_name":"Iterative refinement","score":0.6858000159263611},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6173999905586243},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.5950000286102295},{"id":"https://openalex.org/keywords/expressive-power","display_name":"Expressive power","score":0.47040000557899475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8845000267028809},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7930999994277954},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6998000144958496},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.6858000159263611},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6173999905586243},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.5950000286102295},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.47040000557899475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40290001034736633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3955000042915344},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34200000762939453},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3246000111103058},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.28459998965263367}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1162/tacl_a_00358","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00358","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00358/1924163/tacl_a_00358.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2003.13118","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.13118","pdf_url":"https://arxiv.org/pdf/2003.13118","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:0c9d604390b84b32854b214228cb85c3","is_oa":false,"landing_page_url":"https://doaj.org/article/0c9d604390b84b32854b214228cb85c3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 9, Pp 120-138 (2021)","raw_type":"article"},{"id":"pmh:oai:infoscience.epfl.ch:277107","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/277107","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/277107","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00358","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00358","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00358/1924163/tacl_a_00358.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G375287545","display_name":"Automated interpretation of political and economic policy documents: Machine learning using semantic and syntactic information","funder_award_id":"180320","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013703241.pdf","grobid_xml":"https://content.openalex.org/works/W3013703241.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2050169401","https://openalex.org/W2070536585","https://openalex.org/W2110177424","https://openalex.org/W2138304862","https://openalex.org/W2139885235","https://openalex.org/W2250861254","https://openalex.org/W2301095666","https://openalex.org/W2301603631","https://openalex.org/W2512597464","https://openalex.org/W2565563776","https://openalex.org/W2889197485","https://openalex.org/W2892094955","https://openalex.org/W2963213121","https://openalex.org/W2963481229","https://openalex.org/W2963572611","https://openalex.org/W2964310805","https://openalex.org/W4246185962"],"related_works":[],"abstract_inverted_index":{"We":[0,32,51],"propose":[1],"the":[2,10,17,34,68,80,90,97,106],"Recursive":[3],"Non-autoregressive":[4],"Graph-to-Graph":[5,23],"Transformer":[6,24,55],"architecture":[7],"(RNGTr)":[8],"for":[9,108],"iterative":[11],"refinement":[12,46,63],"of":[13,20,38,70,73],"arbitrary":[14],"graphs":[15],"through":[16],"recursive":[18],"application":[19],"a":[21,45,57,71],"non-autoregressive":[22],"and":[25,36,85,89],"apply":[26],"it":[27],"to":[28,61],"syntactic":[29],"dependency":[30,42],"parsing.":[31],"demonstrate":[33],"power":[35],"effectiveness":[37],"RNGTr":[39,65],"on":[40,76],"several":[41],"corpora,":[43],"using":[44],"model":[47],"pre-trained":[48],"with":[49],"BERT.":[50],"also":[52],"introduce":[53],"Syntactic":[54],"(SynTr),":[56],"non-recursive":[58],"parser":[59],"similar":[60],"our":[62],"model.":[64],"can":[66],"improve":[67],"accuracy":[69],"variety":[72],"initial":[74],"parsers":[75],"13":[77],"languages":[78],"from":[79],"Universal":[81],"Dependencies":[82],"Treebanks,":[83,88],"English":[84],"Chinese":[86],"Penn":[87],"German":[91],"CoNLL2009":[92],"corpus,":[93],"even":[94],"improving":[95,105],"over":[96],"new":[98],"state-of-the-art":[99,107],"results":[100],"achieved":[101],"by":[102],"SynTr,":[103],"significantly":[104],"all":[109],"corpora":[110],"tested.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2020-04-03T00:00:00"}