{"id":"https://openalex.org/W2740862186","doi":"https://doi.org/10.18653/v1/k17-3010","title":"UParse: the Edinburgh system for the CoNLL 2017 UD shared task","display_name":"UParse: the Edinburgh system for the CoNLL 2017 UD shared task","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740862186","doi":"https://doi.org/10.18653/v1/k17-3010","mag":"2740862186"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k17-3010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-3010","pdf_url":"https://www.aclweb.org/anthology/K17-3010.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 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies","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/K17-3010.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044545465","display_name":"Clara Vania","orcid":null},"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":"Clara Vania","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343569","display_name":"Xingxing Zhang","orcid":"https://orcid.org/0000-0003-4012-3796"},"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":"Xingxing Zhang","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109031255","display_name":"Adam Lopez","orcid":null},"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":"Adam Lopez","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics 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":0.5537,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69471447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"110"},"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":0.9944999814033508,"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":0.919044017791748},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6818920969963074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6618808507919312},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6203858256340027},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5849793553352356},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5841203331947327},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.5547946095466614},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.5381060838699341},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5097333788871765},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4872092604637146},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4575139880180359},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42958196997642517},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08154615759849548},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07973700761795044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.919044017791748},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6818920969963074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6618808507919312},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6203858256340027},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5849793553352356},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5841203331947327},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.5547946095466614},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.5381060838699341},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5097333788871765},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4872092604637146},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4575139880180359},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42958196997642517},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08154615759849548},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07973700761795044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/k17-3010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-3010","pdf_url":"https://www.aclweb.org/anthology/K17-3010.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 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/2601eb63-7938-47e8-bf56-3c35ec3f57a3","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/2601eb63-7938-47e8-bf56-3c35ec3f57a3","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/k17-3010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-3010","pdf_url":"https://www.aclweb.org/anthology/K17-3010.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 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G4437068315","display_name":"EPSRC Centre for Doctoral Training in Data Science","funder_award_id":"EP/L016427/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320332","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90"},{"id":"https://openalex.org/F4320328515","display_name":"Lembaga Pengelola Dana Pendidikan","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740862186.pdf","grobid_xml":"https://content.openalex.org/works/W2740862186.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W630532510","https://openalex.org/W635530177","https://openalex.org/W1860935423","https://openalex.org/W2015238682","https://openalex.org/W2108227097","https://openalex.org/W2116410915","https://openalex.org/W2133564696","https://openalex.org/W2134036914","https://openalex.org/W2135002837","https://openalex.org/W2135514656","https://openalex.org/W2148708890","https://openalex.org/W2152691628","https://openalex.org/W2156387975","https://openalex.org/W2250397939","https://openalex.org/W2250741688","https://openalex.org/W2250861254","https://openalex.org/W2251324968","https://openalex.org/W2251904602","https://openalex.org/W2251913848","https://openalex.org/W2301095666","https://openalex.org/W2397447617","https://openalex.org/W2493916176","https://openalex.org/W2564663390","https://openalex.org/W2574640638","https://openalex.org/W2579343286","https://openalex.org/W2727218090","https://openalex.org/W2740840489","https://openalex.org/W2949952998","https://openalex.org/W2964084097","https://openalex.org/W2964198424","https://openalex.org/W2964308564","https://openalex.org/W3088675891","https://openalex.org/W4287901611"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W2098784136","https://openalex.org/W4241489294","https://openalex.org/W287510790","https://openalex.org/W63925617","https://openalex.org/W2968543375","https://openalex.org/W2252142543","https://openalex.org/W4288558800","https://openalex.org/W2888625260","https://openalex.org/W2953770453"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"our":[3,75],"submissions":[4],"for":[5,40,50,61],"the":[6,44,81],"CoNLL":[7],"2017":[8],"UD":[9],"Shared":[10],"Task.":[11],"Our":[12],"parser,":[13],"called":[14],"UParse,":[15],"is":[16],"based":[17],"on":[18],"a":[19,30,35],"neural":[20],"network":[21],"graph-based":[22],"dependency":[23],"parser.":[24],"The":[25],"parser":[26],"uses":[27],"features":[28],"from":[29],"bidirectional":[31],"LSTM":[32],"to":[33],"produce":[34],"distribution":[36],"over":[37],"possible":[38],"heads":[39],"each":[41],"word":[42],"in":[43,80],"sentence.":[45],"To":[46],"allow":[47],"transfer":[48],"learning":[49],"lowresource":[51],"treebanks":[52],"and":[53,68,87],"surprise":[54],"languages,":[55,63],"we":[56],"train":[57],"several":[58],"multilingual":[59],"models":[60],"related":[62],"grouped":[64],"by":[65],"their":[66],"genus":[67],"language":[69],"families.":[70],"Out":[71],"of":[72],"33":[73],"participants,":[74],"system":[76],"achieves":[77],"rank":[78],"9th":[79],"main":[82],"results,":[83],"with":[84],"75.49":[85],"UAS":[86],"68.87":[88],"LAS":[89],"F-1":[90],"scores":[91],"(average":[92],"across":[93],"81":[94],"treebanks).":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
