{"id":"https://openalex.org/W2251840651","doi":"https://doi.org/10.18653/v1/k15-1029","title":"Transition-based Spinal Parsing","display_name":"Transition-based Spinal Parsing","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251840651","doi":"https://doi.org/10.18653/v1/k15-1029","mag":"2251840651"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k15-1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1029","pdf_url":"https://www.aclweb.org/anthology/K15-1029.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 Nineteenth Conference on Computational Natural Language Learning","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/K15-1029.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101731788","display_name":"Miguel Ballesteros","orcid":"https://orcid.org/0000-0003-3949-0361"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Miguel Ballesteros","raw_affiliation_strings":["Carnegie Mellon University","NLP Group, Pompeu Fabra University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"NLP Group, Pompeu Fabra University","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020877978","display_name":"Xavier Carreras","orcid":"https://orcid.org/0000-0001-7432-4540"},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Carreras","raw_affiliation_strings":["Xerox Research Centre Europe"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe","institution_ids":["https://openalex.org/I33976269"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8459,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88075698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"299"},"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":0.9997000098228455,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9822999835014343,"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/parsing","display_name":"Parsing","score":0.8046035766601562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7934889197349548},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6609071493148804},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6340256333351135},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6181181073188782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5199883580207825},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.491129606962204},{"id":"https://openalex.org/keywords/arc","display_name":"Arc (geometry)","score":0.44708070158958435},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37928318977355957},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.16519606113433838},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13767120242118835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09215086698532104}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8046035766601562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934889197349548},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6609071493148804},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6340256333351135},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6181181073188782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199883580207825},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.491129606962204},{"id":"https://openalex.org/C83415579","wikidata":"https://www.wikidata.org/wiki/Q161973","display_name":"Arc (geometry)","level":2,"score":0.44708070158958435},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37928318977355957},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.16519606113433838},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13767120242118835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09215086698532104},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/k15-1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1029","pdf_url":"https://www.aclweb.org/anthology/K15-1029.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:repositori-api.upf.edu:10230/27787","is_oa":false,"landing_page_url":"http://hdl.handle.net/10230/27787","pdf_url":null,"source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.7882","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.7882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.upc.edu/%7Ecarreras/pubs/2015-conll-bc.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.727.2716","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.727.2716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.xrce.xerox.com/content/download/44075/525318/file/2015-029.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/k15-1029","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1029","pdf_url":"https://www.aclweb.org/anthology/K15-1029.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G2203972493","display_name":null,"funder_award_id":"FP7 ICT","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3797201681","display_name":"Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation","funder_award_id":"610411","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7865797263","display_name":"Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities","funder_award_id":"645012","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338370","display_name":"FP7 Information and Communication Technologies","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251840651.pdf","grobid_xml":"https://content.openalex.org/works/W2251840651.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W81000870","https://openalex.org/W90963093","https://openalex.org/W108437174","https://openalex.org/W181643614","https://openalex.org/W181954356","https://openalex.org/W194033037","https://openalex.org/W575076247","https://openalex.org/W1535015163","https://openalex.org/W1541975828","https://openalex.org/W1548836709","https://openalex.org/W1568793342","https://openalex.org/W1812474519","https://openalex.org/W1953828586","https://openalex.org/W1983582289","https://openalex.org/W1986543644","https://openalex.org/W2030904529","https://openalex.org/W2038754641","https://openalex.org/W2051818821","https://openalex.org/W2052816566","https://openalex.org/W2092654472","https://openalex.org/W2096044384","https://openalex.org/W2108999232","https://openalex.org/W2110882317","https://openalex.org/W2112428003","https://openalex.org/W2114887620","https://openalex.org/W2116410915","https://openalex.org/W2116983617","https://openalex.org/W2121293489","https://openalex.org/W2122179236","https://openalex.org/W2124861326","https://openalex.org/W2126433015","https://openalex.org/W2128092251","https://openalex.org/W2128634885","https://openalex.org/W2129820263","https://openalex.org/W2134036914","https://openalex.org/W2134729743","https://openalex.org/W2151308177","https://openalex.org/W2161222299","https://openalex.org/W2163568299","https://openalex.org/W2250451826","https://openalex.org/W2250490911","https://openalex.org/W2250861254","https://openalex.org/W2251905562","https://openalex.org/W2788296320","https://openalex.org/W2914096745","https://openalex.org/W2949952998","https://openalex.org/W2963428826"],"related_works":["https://openalex.org/W2968543375","https://openalex.org/W2098784136","https://openalex.org/W2619584063","https://openalex.org/W2952780262","https://openalex.org/W4288558800","https://openalex.org/W2953770453","https://openalex.org/W3088470625","https://openalex.org/W2142145894","https://openalex.org/W3035970863","https://openalex.org/W2888625260"],"abstract_inverted_index":{"We":[0,50],"present":[1],"a":[2,10,27,35,52,76],"transition-based":[3],"arc-eager":[4,31,58],"model":[5,32,74],"to":[6,24,60],"parse":[7],"spinal":[8,63],"trees,":[9],"dependencybased":[11],"representation":[12],"that":[13,72],"includes":[14],"phrasestructure":[15],"information":[16],"in":[17,47],"the":[18,30,57,73,87],"form":[19],"of":[20,38,54,86],"constituent":[21,43,94],"spines":[22],"assigned":[23],"tokens.":[25],"As":[26],"main":[28],"advantage,":[29],"can":[33],"use":[34],"rich":[36],"set":[37,53],"features":[39],"combining":[40],"dependency":[41,92],"and":[42,81,83,93],"information,":[44],"while":[45],"parsing":[46,95],"linear":[48],"time.":[49],"describe":[51],"conditions":[55],"for":[56,90],"system":[59],"produce":[61],"valid":[62],"structures.":[64],"In":[65],"experiments":[66],"using":[67],"beam":[68],"search":[69],"we":[70],"show":[71],"obtains":[75],"good":[77],"trade-off":[78],"between":[79],"speed":[80],"accuracy,":[82],"yields":[84],"state":[85],"art":[88],"performance":[89],"both":[91],"measures.":[96]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-31T07:19:18.363097","created_date":"2025-10-10T00:00:00"}
