{"id":"https://openalex.org/W2962946519","doi":"https://doi.org/10.1609/aaai.v33i01.33016658","title":"Dependency Grammar Induction with a Neural Variational Transition-Based Parser","display_name":"Dependency Grammar Induction with a Neural Variational Transition-Based Parser","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2962946519","doi":"https://doi.org/10.1609/aaai.v33i01.33016658","mag":"2962946519"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33016658","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016658","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33016658","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100387285","display_name":"Bowen Li","orcid":"https://orcid.org/0000-0002-6331-1629"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bowen Li","raw_affiliation_strings":["University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039726714","display_name":"Jianpeng Cheng","orcid":"https://orcid.org/0009-0000-7748-4443"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianpeng Cheng","raw_affiliation_strings":["University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054936589","display_name":"Frank Keller","orcid":"https://orcid.org/0000-0002-8242-4362"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Frank Keller","raw_affiliation_strings":["University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"6658","last_page":"6665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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":0.942799985408783,"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/treebank","display_name":"Treebank","score":0.8849974870681763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8474134206771851},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.7184244394302368},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7083465456962585},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6826668977737427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.668605387210846},{"id":"https://openalex.org/keywords/grammar-induction","display_name":"Grammar induction","score":0.6165604591369629},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5375373959541321},{"id":"https://openalex.org/keywords/link-grammar","display_name":"Link grammar","score":0.48404449224472046},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.47450587153434753},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4183991551399231},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.23804405331611633},{"id":"https://openalex.org/keywords/attribute-grammar","display_name":"Attribute grammar","score":0.18642202019691467}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.8849974870681763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8474134206771851},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7184244394302368},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7083465456962585},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6826668977737427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.668605387210846},{"id":"https://openalex.org/C56601403","wikidata":"https://www.wikidata.org/wiki/Q5593673","display_name":"Grammar induction","level":3,"score":0.6165604591369629},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5375373959541321},{"id":"https://openalex.org/C957247","wikidata":"https://www.wikidata.org/wiki/Q6554304","display_name":"Link grammar","level":4,"score":0.48404449224472046},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.47450587153434753},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4183991551399231},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.23804405331611633},{"id":"https://openalex.org/C164041254","wikidata":"https://www.wikidata.org/wiki/Q597455","display_name":"Attribute grammar","level":3,"score":0.18642202019691467},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33016658","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016658","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4636","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4636","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4636/4514","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/b49b520a-2a4b-43e8-8dc6-d6ea62f23cb2","is_oa":true,"landing_page_url":"https://aaai.org/ojs/index.php/AAAI/article/view/4636","pdf_url":"http://hdl.handle.net/20.500.11820/b49b520a-2a4b-43e8-8dc6-d6ea62f23cb2","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, B, Cheng, J, Liu, Y & Keller, F 2019, Dependency Grammar Induction with a Neural Variational Transition-based Parser. in Proceedings of the 33rd AAAI Conference on Artificial Intelligence : Thirty-First Conference on Innovative Applications of Artificial Intelligence The Ninth Symposium on Educational Advances in Artificial Intelligence - AAAI Technical Track: Machine Learning. vol. 33, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, no. 1, vol. 33, Palo Alto, California USA, pp. 6658-6665, The Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, United States, 27/01/19. https://doi.org/10.1609/aaai.v33i01.33016658","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/b49b520a-2a4b-43e8-8dc6-d6ea62f23cb2","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/b49b520a-2a4b-43e8-8dc6-d6ea62f23cb2","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, B, Cheng, J, Liu, Y & Keller, F 2019, Dependency Grammar Induction with a Neural Variational Transition-based Parser. in Proceedings of the 33rd AAAI Conference on Artificial Intelligence : Thirty-First Conference on Innovative Applications of Artificial Intelligence The Ninth Symposium on Educational Advances in Artificial Intelligence - AAAI Technical Track: Machine Learning. vol. 33, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, no. 1, vol. 33, Palo Alto, California USA, pp. 6658-6665, The Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, United States, 27/01/19. https://doi.org/10.1609/aaai.v33i01.33016658","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33016658","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016658","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319993","display_name":"Leverhulme Trust","ror":"https://ror.org/012mzw131"},{"id":"https://openalex.org/F4320327675","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W145849181","https://openalex.org/W1632114991","https://openalex.org/W1894835849","https://openalex.org/W2088672056","https://openalex.org/W2105995783","https://openalex.org/W2119717200","https://openalex.org/W2121227244","https://openalex.org/W2122262818","https://openalex.org/W2134036914","https://openalex.org/W2146502635","https://openalex.org/W2152691628","https://openalex.org/W2156024017","https://openalex.org/W2163536689","https://openalex.org/W2173681125","https://openalex.org/W2183666181","https://openalex.org/W2250539671","https://openalex.org/W2250762689","https://openalex.org/W2301095666","https://openalex.org/W2493916176","https://openalex.org/W2526471240","https://openalex.org/W2563157576","https://openalex.org/W2566475580","https://openalex.org/W2579343286","https://openalex.org/W2739893875","https://openalex.org/W2742018338","https://openalex.org/W2744831323","https://openalex.org/W2750957829","https://openalex.org/W2799094457","https://openalex.org/W2899363284","https://openalex.org/W2949697181","https://openalex.org/W2952264928","https://openalex.org/W2962808339","https://openalex.org/W2963073938","https://openalex.org/W2963135511","https://openalex.org/W2963521186","https://openalex.org/W3010865323","https://openalex.org/W4230563027","https://openalex.org/W4254313632","https://openalex.org/W6678277124","https://openalex.org/W6685356407","https://openalex.org/W6691431627","https://openalex.org/W6696775231","https://openalex.org/W6731388886","https://openalex.org/W6743100391","https://openalex.org/W6750230808"],"related_works":["https://openalex.org/W2559370752","https://openalex.org/W2962946519","https://openalex.org/W2251251642","https://openalex.org/W2900896563","https://openalex.org/W2180373279","https://openalex.org/W2111500764","https://openalex.org/W2250415202","https://openalex.org/W2264151281","https://openalex.org/W1582680029","https://openalex.org/W1656484683"],"abstract_inverted_index":{"Dependency":[0,113],"grammar":[1,58],"induction":[2],"is":[3],"the":[4,73,105,111],"task":[5,25],"of":[6,78],"learning":[7],"dependency":[8,57,94],"syntax":[9],"without":[10],"annotated":[11],"training":[12],"data.":[13],"Traditional":[14],"graph-based":[15,101],"models":[16,33],"with":[17,37,67,75],"global":[18],"inference":[19,36,61],"achieve":[20],"state-ofthe-art":[21],"results":[22],"on":[23,104,110],"this":[24,48],"but":[26,41],"they":[27],"require":[28],"O(n3)":[29],"run":[30],"time.":[31],"Transition-based":[32],"enable":[34],"faster":[35],"O(n)":[38,68],"time":[39,69],"complexity,":[40],"their":[42],"performance":[43,98],"still":[44],"lags":[45],"behind.":[46],"In":[47,115],"work,":[49],"we":[50,119],"propose":[51],"a":[52],"neural":[53,65],"transition-based":[54,93],"parser":[55,74],"for":[56],"induction,":[59],"whose":[60],"procedure":[62],"utilizes":[63],"rich":[64],"features":[66],"complexity.":[70],"We":[71],"train":[72],"an":[76,116],"integration":[77],"variational":[79],"inference,":[80],"posterior":[81],"regularization":[82],"and":[83,96,109],"variance":[84],"reduction":[85],"techniques.":[86],"The":[87],"resulting":[88],"framework":[89],"outperforms":[90],"previous":[91],"unsupervised":[92],"parsers":[95],"achieves":[97],"comparable":[99],"to":[100],"models,":[102],"both":[103],"English":[106],"Penn":[107],"Treebank":[108],"Universal":[112],"Treebank.":[114],"empirical":[117],"comparison,":[118],"show":[120],"that":[121],"our":[122],"approach":[123],"substantially":[124],"increases":[125],"parsing":[126],"speed":[127],"over":[128],"graphbased":[129],"models.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}