{"id":"https://openalex.org/W4205288657","doi":"https://doi.org/10.1017/s1351324921000371","title":"Joint learning of morphology and syntax with cross-level contextual information flow","display_name":"Joint learning of morphology and syntax with cross-level contextual information flow","publication_year":2022,"publication_date":"2022-01-20","ids":{"openalex":"https://openalex.org/W4205288657","doi":"https://doi.org/10.1017/s1351324921000371"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324921000371","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324921000371","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6D848C753AAA7DD978217645283F9DFE/S1351324921000371a.pdf/div-class-title-joint-learning-of-morphology-and-syntax-with-cross-level-contextual-information-flow-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6D848C753AAA7DD978217645283F9DFE/S1351324921000371a.pdf/div-class-title-joint-learning-of-morphology-and-syntax-with-cross-level-contextual-information-flow-div.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046915242","display_name":"Burcu Can","orcid":"https://orcid.org/0000-0002-1700-0395"},"institutions":[{"id":"https://openalex.org/I119664326","display_name":"University of Wolverhampton","ror":"https://ror.org/01k2y1055","country_code":"GB","type":"education","lineage":["https://openalex.org/I119664326"]},{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["GB","TR"],"is_corresponding":true,"raw_author_name":"Burcu Can","raw_affiliation_strings":["Department of Computer Engineering, Hacettepe University, Ankara, Turkey,","Research Institute of Information and Language Processing, University of Wolverhampton, Wolverhampton WV1 1LY, UK,","Research Institute of Information and Language Processing, University of Wolverhampton, Wolverhampton WV1\u00a01LY, UK","Department of Computer Engineering, Hacettepe University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-1700-0395","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Hacettepe University, Ankara, Turkey,","institution_ids":["https://openalex.org/I66514158"]},{"raw_affiliation_string":"Research Institute of Information and Language Processing, University of Wolverhampton, Wolverhampton WV1 1LY, UK,","institution_ids":["https://openalex.org/I119664326"]},{"raw_affiliation_string":"Research Institute of Information and Language Processing, University of Wolverhampton, Wolverhampton WV1\u00a01LY, UK","institution_ids":["https://openalex.org/I119664326"]},{"raw_affiliation_string":"Department of Computer Engineering, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033862280","display_name":"H\u00fcseyin Ale\u00e7ak\u0131r","orcid":"https://orcid.org/0000-0003-2278-1453"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"H\u00fcseyin Ale\u00e7ak\u0131r","raw_affiliation_strings":["Cognitive Science Department, Informatics Institute, Middle East Technical University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive Science Department, Informatics Institute, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108193412","display_name":"Suresh Manandhar","orcid":null},"institutions":[{"id":"https://openalex.org/I4394709231","display_name":"Madan Bhandari University of Science and Technology","ror":"https://ror.org/021xhya68","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709231"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Suresh Manandhar","raw_affiliation_strings":["Madan Bhandari University of Science and Technology Development Board, Karyabinayak, Nepal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Madan Bhandari University of Science and Technology Development Board, Karyabinayak, Nepal","institution_ids":["https://openalex.org/I4394709231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041737376","display_name":"Cem Boz\u015fahin","orcid":"https://orcid.org/0000-0002-2494-9478"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cem Boz\u015fahin","raw_affiliation_strings":["Cognitive Science Department, Informatics Institute, Middle East Technical University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive Science Department, Informatics Institute, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046915242"],"corresponding_institution_ids":["https://openalex.org/I119664326","https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":0.524,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6881346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"28","issue":"6","first_page":"763","last_page":"795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T13629","display_name":"Text Readability and Simplification","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.900242805480957},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7896519899368286},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.698520839214325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6837080717086792},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.6794423460960388},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6339074969291687},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.632814347743988},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5861307382583618},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5206924676895142},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5200895071029663},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4798309803009033},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4258421063423157},{"id":"https://openalex.org/keywords/information-flow","display_name":"Information flow","score":0.4182601571083069},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2182457149028778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.900242805480957},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7896519899368286},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.698520839214325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6837080717086792},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.6794423460960388},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6339074969291687},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.632814347743988},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5861307382583618},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5206924676895142},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5200895071029663},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4798309803009033},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4258421063423157},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.4182601571083069},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2182457149028778},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1017/s1351324921000371","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324921000371","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6D848C753AAA7DD978217645283F9DFE/S1351324921000371a.pdf/div-class-title-joint-learning-of-morphology-and-syntax-with-cross-level-contextual-information-flow-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:dspace.stir.ac.uk:1893/36277","is_oa":true,"landing_page_url":"http://hdl.handle.net/1893/36277","pdf_url":"http://dspace.stir.ac.uk/retrieve/61acf52d-ba01-44b0-8c28-27b751c3f63b/joint-learning-of-morphology-and-syntax-with-cross-level-contextual-information-flow.pdf","source":{"id":"https://openalex.org/S4306400268","display_name":"Stirling Online Research Repository (University of Stirling)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12093191","host_organization_name":"University of Stirling","host_organization_lineage":["https://openalex.org/I12093191"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:wlv.openrepository.com:2436/624440","is_oa":true,"landing_page_url":"http://hdl.handle.net/2436/624440","pdf_url":null,"source":{"id":"https://openalex.org/S4306401000","display_name":"Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119664326","host_organization_name":"University of Wolverhampton","host_organization_lineage":["https://openalex.org/I119664326"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"28","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1017/s1351324921000371","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1351324921000371","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6D848C753AAA7DD978217645283F9DFE/S1351324921000371a.pdf/div-class-title-joint-learning-of-morphology-and-syntax-with-cross-level-contextual-information-flow-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G2772390588","display_name":null,"funder_award_id":"EEEAG-115E464","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205288657.pdf","grobid_xml":"https://content.openalex.org/works/W4205288657.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W69919596","https://openalex.org/W593009930","https://openalex.org/W1491975949","https://openalex.org/W1583936759","https://openalex.org/W1614298861","https://openalex.org/W1899794420","https://openalex.org/W2010835028","https://openalex.org/W2045344178","https://openalex.org/W2052449326","https://openalex.org/W2053306448","https://openalex.org/W2064675550","https://openalex.org/W2101609803","https://openalex.org/W2101711363","https://openalex.org/W2112796928","https://openalex.org/W2116410915","https://openalex.org/W2121103874","https://openalex.org/W2131924950","https://openalex.org/W2139090905","https://openalex.org/W2159636675","https://openalex.org/W2161795601","https://openalex.org/W2163514362","https://openalex.org/W2248550763","https://openalex.org/W2251386579","https://openalex.org/W2296260950","https://openalex.org/W2301095666","https://openalex.org/W2498224460","https://openalex.org/W2552110825","https://openalex.org/W2616177386","https://openalex.org/W2740646860","https://openalex.org/W2803622774","https://openalex.org/W2808430035","https://openalex.org/W2833383446","https://openalex.org/W2883393997","https://openalex.org/W2886167250","https://openalex.org/W2896457183","https://openalex.org/W2898977629","https://openalex.org/W2899024931","https://openalex.org/W2913340405","https://openalex.org/W2915977242","https://openalex.org/W2962739339","https://openalex.org/W2963099225","https://openalex.org/W2963168538","https://openalex.org/W2963490498","https://openalex.org/W2963854351","https://openalex.org/W2964256307","https://openalex.org/W2970529259","https://openalex.org/W2973009560","https://openalex.org/W3047855687","https://openalex.org/W4240076128","https://openalex.org/W6631190155","https://openalex.org/W6679379321","https://openalex.org/W6732301634"],"related_works":["https://openalex.org/W2888625260","https://openalex.org/W65617392","https://openalex.org/W2351267244","https://openalex.org/W2036499707","https://openalex.org/W4297408405","https://openalex.org/W2921384283","https://openalex.org/W2798703557","https://openalex.org/W2964177319","https://openalex.org/W85855394","https://openalex.org/W126974599"],"abstract_inverted_index":{"Abstract":[0],"We":[1,87],"propose":[2],"an":[3,34],"integrated":[4],"deep":[5],"learning":[6],"model":[7,41],"for":[8,26,67,104,114,137],"morphological":[9,82,85],"segmentation,":[10],"morpheme":[11],"tagging,":[12,15],"part-of-speech":[13],"(POS)":[14],"and":[16,47,76,84,128],"syntactic":[17],"parsing":[18,78],"onto":[19],"dependencies,":[20,32,132],"using":[21],"cross-level":[22],"contextual":[23],"information":[24],"flow":[25],"every":[27],"word,":[28],"from":[29,58],"segments":[30],"to":[31,61,79,111],"with":[33,131],"attention":[35],"mechanism":[36],"at":[37],"horizontal":[38],"flow.":[39],"Our":[40],"extends":[42],"the":[43,52,120],"work":[44],"of":[45,51,119,126],"Nguyen":[46],"Verspoor":[48],"((2018).":[49],"Proceedings":[50],"CoNLL":[53],"Shared":[54],"Task:":[55],"Multilingual":[56],"Parsing":[57],"Raw":[59],"Text":[60],"Universal":[62],"Dependencies":[63],".":[64],"The":[65],"Association":[66],"Computational":[68],"Linguistics,":[69],"pp.":[70],"81\u201391.)":[71],"on":[72,91],"joint":[73,124],"POS":[74],"tagging":[75],"dependency":[77],"also":[80],"include":[81],"segmentation":[83],"tagging.":[86],"report":[88],"our":[89],"results":[90],"several":[92],"languages.":[93],"Primary":[94],"focus":[95],"is":[96],"agglutination":[97],"in":[98,100,123],"morphology,":[99,103],"particular":[101],"Turkish":[102],"which":[105],"we":[106,133],"demonstrate":[107],"improved":[108],"performance":[109],"compared":[110],"models":[112],"trained":[113],"individual":[115],"tasks.":[116],"Being":[117],"one":[118],"earlier":[121],"efforts":[122],"modeling":[125],"syntax":[127],"morphology":[129],"along":[130],"discuss":[134],"prospective":[135],"guidelines":[136],"future":[138],"comparison.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2022-01-25T00:00:00"}
