{"id":"https://openalex.org/W2125225769","doi":"https://doi.org/10.3115/1599081.1599176","title":"Shift-reduce dependency DAG parsing","display_name":"Shift-reduce dependency DAG parsing","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2125225769","doi":"https://doi.org/10.3115/1599081.1599176","mag":"2125225769"},"language":"en","primary_location":{"id":"doi:10.3115/1599081.1599176","doi":"https://doi.org/10.3115/1599081.1599176","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1599081.1599176","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1599176&type=pdf","source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=1599176&type=pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070742827","display_name":"Kenji Sagae","orcid":"https://orcid.org/0000-0003-3371-0618","observed_orcids":["https://orcid.org/0000-0003-3371-0618"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenji Sagae","raw_affiliation_strings":["University of Southern California, Marina del Rey, CA","Univ. of Southern California, Marina del Rey, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Marina del Rey, CA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Univ. of Southern California, Marina del Rey, CA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112241147","display_name":"Jun\u2019ichi Tsujii","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["GB","JP"],"is_corresponding":false,"raw_author_name":"Jun'ichi Tsujii","raw_affiliation_strings":["University of Tokyo, University of Manchester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, University of Manchester","institution_ids":["https://openalex.org/I28407311","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7152,"has_fulltext":true,"cited_by_count":80,"citation_normalized_percentile":{"value":0.94244077,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"1","issue":null,"first_page":"753","last_page":"760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.00019999999494757503,"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/shift-reduce-parsing","display_name":"shift-reduce parsing","score":0.8709999918937683},{"id":"https://openalex.org/keywords/directed-acyclic-graphs","display_name":"directed acyclic graphs","score":0.8149999976158142},{"id":"https://openalex.org/keywords/dependency-trees","display_name":"dependency trees","score":0.6159999966621399},{"id":"https://openalex.org/keywords/long-distance-dependencies","display_name":"long-distance dependencies","score":0.9559999704360962},{"id":"https://openalex.org/keywords/anaphoric-reference","display_name":"anaphoric reference","score":0.8989999890327454},{"id":"https://openalex.org/keywords/danish-syntax","display_name":"Danish syntax","score":0.671999990940094},{"id":"https://openalex.org/keywords/english-syntax","display_name":"English syntax","score":0.8040000200271606},{"id":"https://openalex.org/keywords/data-driven-parsing","display_name":"data-driven parsing","score":0.6110000014305115}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8486689329147339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185219764709473},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7551816701889038},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7194581031799316},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.6430795788764954},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6385462880134583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5725724697113037},{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.5630544424057007},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5516260862350464},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.5286802649497986},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.47662317752838135},{"id":"https://openalex.org/C58646249","wikidata":"https://www.wikidata.org/wiki/Q127380","display_name":"Abstract syntax tree","level":3,"score":0.4732808768749237},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.465945839881897},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.4648647904396057},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.46197474002838135},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4229838252067566},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.40848827362060547},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2684471011161804},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2535824179649353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10434544086456299},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/1599081.1599176","doi":"https://doi.org/10.3115/1599081.1599176","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1599081.1599176","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1599176&type=pdf","source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.3938","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.3938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~sagae/docs/sagae-coling08.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.329.6415","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.6415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology-new/C/C08/C08-1095.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1599081.1599176","doi":"https://doi.org/10.3115/1599081.1599176","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1599081.1599176","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=1599176&type=pdf","source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.5600000023841858}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2125225769.pdf","grobid_xml":"https://content.openalex.org/works/W2125225769.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W140467209","https://openalex.org/W151685798","https://openalex.org/W194033037","https://openalex.org/W1491565344","https://openalex.org/W1521190430","https://openalex.org/W1604685658","https://openalex.org/W1973406306","https://openalex.org/W2027979924","https://openalex.org/W2030904529","https://openalex.org/W2120735855","https://openalex.org/W2121435899","https://openalex.org/W2122922578","https://openalex.org/W2124772738","https://openalex.org/W2129227538","https://openalex.org/W2132589551","https://openalex.org/W2151534213","https://openalex.org/W2159636675","https://openalex.org/W2161795601"],"related_works":["https://openalex.org/W2251120917","https://openalex.org/W1653565392","https://openalex.org/W2251173392","https://openalex.org/W2137936515","https://openalex.org/W2788405243","https://openalex.org/W2250875713","https://openalex.org/W7135750765","https://openalex.org/W2116587737","https://openalex.org/W2423636506","https://openalex.org/W2759879189"],"abstract_inverted_index":{"Most":[0],"data-driven":[1,55],"dependency":[2,57,80],"parsing":[3,46,58,72,82],"approaches":[4],"assume":[5],"that":[6,30,48,99],"sentence":[7],"structure":[8,26],"is":[9,49],"represented":[10],"as":[11,51,53],"trees.":[12],"Although":[13],"trees":[14],"have":[15],"several":[16],"desirable":[17],"properties":[18],"from":[19],"both":[20],"computational":[21],"and":[22,91,103],"linguistic":[23,28],"perspectives,":[24],"the":[25,68],"of":[27,70,89,94],"phenomena":[29],"goes":[31],"beyond":[32],"shallow":[33],"syntax":[34],"often":[35],"cannot":[36],"be":[37,84],"fully":[38],"captured":[39],"by":[40],"tree":[41,81],"representations.":[42],"We":[43,66],"present":[44],"a":[45,97],"approach":[47],"nearly":[50],"simple":[52],"current":[54],"transition-based":[56],"frameworks,":[59],"but":[60],"outputs":[61],"directed":[62],"acyclic":[63],"graphs":[64],"(DAGs).":[65],"demonstrate":[67],"benefits":[69],"DAG":[71],"in":[73],"two":[74],"experiments":[75],"where":[76],"its":[77],"advantages":[78],"over":[79],"can":[83],"clearly":[85],"observed:":[86],"predicate-argument":[87],"analysis":[88,93],"English":[90],"syntactic":[92],"Danish":[95],"with":[96],"representation":[98],"includes":[100],"long-distance":[101],"dependencies":[102],"anaphoric":[104],"reference":[105],"links.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
