{"id":"https://openalex.org/W1491309538","doi":"https://doi.org/10.3115/v1/w15-1508","title":"A Deep Architecture for Non-Projective Dependency Parsing","display_name":"A Deep Architecture for Non-Projective Dependency Parsing","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1491309538","doi":"https://doi.org/10.3115/v1/w15-1508","mag":"1491309538"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w15-1508","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w15-1508","pdf_url":"https://doi.org/10.3115/v1/w15-1508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/w15-1508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036870275","display_name":"Erick Fonseca","orcid":"https://orcid.org/0000-0002-3726-139X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erick Fonseca","raw_affiliation_strings":["University of S\u00e3o Paulo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059202822","display_name":"Sandra Maria Alu\u00edsio","orcid":"https://orcid.org/0000-0001-5108-2630"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sandra Alu\u00edsio","raw_affiliation_strings":["University of S\u00e3o Paulo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9287,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93915982,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T13629","display_name":"Text Readability and Simplification","score":0.9861999750137329,"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/treebank","display_name":"Treebank","score":0.9542245268821716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8711051344871521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7331441044807434},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.718680202960968},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.7073357701301575},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6606850028038025},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6121079325675964},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5834875106811523},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5609794855117798},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5017673969268799},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46462613344192505},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45694857835769653},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.4482000768184662},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.41997966170310974},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.33228185772895813},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30999326705932617}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9542245268821716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8711051344871521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7331441044807434},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.718680202960968},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7073357701301575},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6606850028038025},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6121079325675964},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5834875106811523},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5609794855117798},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5017673969268799},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46462613344192505},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45694857835769653},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.4482000768184662},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.41997966170310974},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.33228185772895813},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30999326705932617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":3,"locations":[{"id":"doi:10.3115/v1/w15-1508","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w15-1508","pdf_url":"https://doi.org/10.3115/v1/w15-1508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.873.1340","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.873.1340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.producao.usp.br/bitstream/handle/BDPI/48991/2697825.pdf%3Bjsessionid%3D76F7C84C91FA490A72E5921E7DE0953C?sequence%3D1","raw_type":"text"},{"id":"pmh:oai:www.producao.usp.br:BDPI/48991","is_oa":true,"landing_page_url":"http://www.producao.usp.br/handle/BDPI/48991","pdf_url":null,"source":{"id":"https://openalex.org/S4306401373","display_name":"Scientific Electronic Library Online (S\u00e3o Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2982035970","host_organization_name":"Costa Rican Department of Social Security","host_organization_lineage":["https://openalex.org/I2982035970"],"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":"","raw_type":"conferenceObject"}],"best_oa_location":{"id":"doi:10.3115/v1/w15-1508","is_oa":true,"landing_page_url":"http://doi.org/10.3115/v1/w15-1508","pdf_url":"https://doi.org/10.3115/v1/w15-1508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W47641349","https://openalex.org/W98255950","https://openalex.org/W194033037","https://openalex.org/W1614298861","https://openalex.org/W2005181355","https://openalex.org/W2092477611","https://openalex.org/W2108161779","https://openalex.org/W2108999232","https://openalex.org/W2109165106","https://openalex.org/W2122922578","https://openalex.org/W2133280805","https://openalex.org/W2136646623","https://openalex.org/W2153274216","https://openalex.org/W2158139315","https://openalex.org/W2158899491","https://openalex.org/W2250861254","https://openalex.org/W2251771443","https://openalex.org/W2251874715","https://openalex.org/W2252840007","https://openalex.org/W2963216505"],"related_works":["https://openalex.org/W3088470625","https://openalex.org/W3035970863","https://openalex.org/W2389755172","https://openalex.org/W28706907","https://openalex.org/W2250979629","https://openalex.org/W2152451097","https://openalex.org/W2251084681","https://openalex.org/W2134988547","https://openalex.org/W2267669001","https://openalex.org/W2251868338"],"abstract_inverted_index":{"Graph-based":[0],"dependency":[1,53],"parsing":[2,54],"algorithms":[3],"commonly":[4],"employ":[5],"features":[6,33],"up":[7],"to":[8,14],"third":[9],"order":[10],"in":[11,91],"an":[12],"attempt":[13],"capture":[15],"richer":[16],"syntactic":[17],"relations.":[18],"However,":[19],"each":[20,23,70],"level":[21],"and":[22,73],"feature":[24],"combination":[25],"must":[26],"be":[27],"defined":[28],"manually.":[29],"Besides":[30],"that,":[31],"input":[32],"are":[34],"usually":[35],"represented":[36],"as":[37,77],"huge,":[38],"sparse":[39],"binary":[40],"vectors,":[41],"offering":[42],"limited":[43],"generalization.":[44],"In":[45],"this":[46],"work,
\\nwe":[47],"present":[48],"a":[49,57],"deep":[50],"architecture":[51],"for":[52],"based":[55],"on":[56],"convolutional":[58],"neural":[59],"network.":[60],"It":[61],"can":[62],"examine":[63],"the":[64,92],"whole":[65],"sentence":[66],"structure":[67],"before":[68],"scoring":[69],"head/modifier
\\ncandidate":[71],"pair,":[72],"uses":[74],"dense":[75],"embeddings":[76],"input.":[78],"Our":[79],"model":[80],"is":[81],"still":[82],"under":[83],"ongoing":[84],"work,":[85],"achieving":[86],"91.6%":[87],"unlabeled":[88],"attachment":[89],"score":[90],"Penn":[93],"Treebank.":[94]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}