{"id":"https://openalex.org/W2467375345","doi":"https://doi.org/10.18653/v1/k16-1019","title":"Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs","display_name":"Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2467375345","doi":"https://doi.org/10.18653/v1/k16-1019","mag":"2467375345"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k16-1019","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1019","pdf_url":"https://doi.org/10.18653/v1/k16-1019","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/k16-1019","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076880940","display_name":"Swabha Swayamdipta","orcid":"https://orcid.org/0000-0002-5851-8254"},"institutions":[{"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":["US"],"is_corresponding":true,"raw_author_name":"Swabha Swayamdipta","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","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":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Ballesteros","raw_affiliation_strings":["Pompeu Fabra University, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Pompeu Fabra University, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111222692","display_name":"Chris Dyer","orcid":null},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Chris Dyer","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah A. Smith","raw_affiliation_strings":["University of Washington, Seattle, United States"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I58610484","https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076880940"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.84563064,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89122634,"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":"187","last_page":"197"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9128907918930054},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7657524347305298},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6792152523994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6533157229423523},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6431180834770203},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6368384957313538},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5136339068412781},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.507448136806488},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5020437240600586},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.46924522519111633},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.45166873931884766},{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.4504842758178711},{"id":"https://openalex.org/keywords/parser-combinator","display_name":"Parser combinator","score":0.42824578285217285},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.33780381083488464},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07671937346458435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9128907918930054},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7657524347305298},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6792152523994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6533157229423523},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6431180834770203},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6368384957313538},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5136339068412781},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.507448136806488},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5020437240600586},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.46924522519111633},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.45166873931884766},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.4504842758178711},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.42824578285217285},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.33780381083488464},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07671937346458435},{"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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":4,"locations":[{"id":"doi:10.18653/v1/k16-1019","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1019","pdf_url":"https://doi.org/10.18653/v1/k16-1019","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1606.08954","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1606.08954","pdf_url":"https://arxiv.org/pdf/1606.08954","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2467375345","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1606.08954.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1606.08954","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1606.08954","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/k16-1019","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1019","pdf_url":"https://doi.org/10.18653/v1/k16-1019","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2467375345.pdf","grobid_xml":"https://content.openalex.org/works/W2467375345.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W131863957","https://openalex.org/W1561344631","https://openalex.org/W1591801644","https://openalex.org/W1632114991","https://openalex.org/W1810943226","https://openalex.org/W1860935423","https://openalex.org/W1888026739","https://openalex.org/W1970849810","https://openalex.org/W2032794004","https://openalex.org/W2043838763","https://openalex.org/W2050478393","https://openalex.org/W2060535757","https://openalex.org/W2064675550","https://openalex.org/W2080858550","https://openalex.org/W2100439229","https://openalex.org/W2105847779","https://openalex.org/W2106899336","https://openalex.org/W2109165106","https://openalex.org/W2114590102","https://openalex.org/W2115557995","https://openalex.org/W2117598836","https://openalex.org/W2120279593","https://openalex.org/W2126851059","https://openalex.org/W2129577276","https://openalex.org/W2131395877","https://openalex.org/W2132529109","https://openalex.org/W2137132216","https://openalex.org/W2144769465","https://openalex.org/W2144784110","https://openalex.org/W2145726597","https://openalex.org/W2151170651","https://openalex.org/W2158847908","https://openalex.org/W2158899491","https://openalex.org/W2172176372","https://openalex.org/W2172259266","https://openalex.org/W2251495238","https://openalex.org/W2251599843","https://openalex.org/W2294360863","https://openalex.org/W2296194829","https://openalex.org/W2413158316","https://openalex.org/W2949952998","https://openalex.org/W2951588135"],"related_works":["https://openalex.org/W2962836003","https://openalex.org/W2145726597","https://openalex.org/W1991851510","https://openalex.org/W2089650885","https://openalex.org/W2077709455","https://openalex.org/W2120279593","https://openalex.org/W1928841877","https://openalex.org/W2608053514","https://openalex.org/W2998054581","https://openalex.org/W2123243793","https://openalex.org/W3093569337","https://openalex.org/W2059662992","https://openalex.org/W1982649163","https://openalex.org/W2962842183","https://openalex.org/W2545538377","https://openalex.org/W3213740841","https://openalex.org/W2301095666","https://openalex.org/W3102906397","https://openalex.org/W2949143789","https://openalex.org/W2898852996"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,14],"transition-based":[3],"parser":[4],"that":[5,52],"jointly":[6,53],"produces":[7],"syntactic":[8],"and":[9,56],"semantic":[10],"dependencies.":[11],"It":[12],"learns":[13],"representation":[15],"of":[16],"the":[17,37,45],"entire":[18],"algorithm":[19,29],"state,":[20],"using":[21],"stack":[22],"long":[23],"short-term":[24],"memories.":[25],"Our":[26],"greedy":[27],"inference":[28],"has":[30],"linear":[31],"time,":[32],"including":[33],"feature":[34],"extraction.":[35],"On":[36],"CoNLL":[38],"2008--9":[39],"English":[40],"shared":[41],"tasks,":[42],"we":[43],"obtain":[44],"best":[46],"published":[47],"parsing":[48],"performance":[49],"among":[50],"models":[51],"learn":[54],"syntax":[55],"semantics.":[57]},"counts_by_year":[{"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":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}