{"id":"https://openalex.org/W2951757271","doi":"https://doi.org/10.18653/v1/p19-1530","title":"PTB Graph Parsing with Tree Approximation","display_name":"PTB Graph Parsing with Tree Approximation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951757271","doi":"https://doi.org/10.18653/v1/p19-1530","mag":"2951757271"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1530","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1530","pdf_url":"https://www.aclweb.org/anthology/P19-1530.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1530.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073920938","display_name":"Yoshihide Kato","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshihide Kato","raw_affiliation_strings":["Information & Communications, Nagoya University Furo-cho, Chikusa-ku, Nagoya, 464-8601 Japan"],"affiliations":[{"raw_affiliation_string":"Information & Communications, Nagoya University Furo-cho, Chikusa-ku, Nagoya, 464-8601 Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029977781","display_name":"Shigeki Matsubara","orcid":"https://orcid.org/0000-0003-0416-3635"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeki Matsubara","raw_affiliation_strings":["Information & Communications, Nagoya University Furo-cho, Chikusa-ku, Nagoya, 464-8601 Japan"],"affiliations":[{"raw_affiliation_string":"Information & Communications, Nagoya University Furo-cho, Chikusa-ku, Nagoya, 464-8601 Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073920938"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.4335,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71348112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5344","last_page":"5349"},"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":0.9998000264167786,"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":0.9923999905586243,"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":0.9609663486480713},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8248797655105591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7560662031173706},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.7016206383705139},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6007271409034729},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.597147524356842},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5819064378738403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5531060099601746},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5422306060791016},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4338643550872803},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.42035791277885437},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34738683700561523},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.3058208227157593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14815965294837952},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11009383201599121}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9609663486480713},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8248797655105591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560662031173706},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7016206383705139},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6007271409034729},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.597147524356842},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5819064378738403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5531060099601746},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5422306060791016},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4338643550872803},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.42035791277885437},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34738683700561523},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.3058208227157593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14815965294837952},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11009383201599121},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1530","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1530","pdf_url":"https://www.aclweb.org/anthology/P19-1530.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1530","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1530","pdf_url":"https://www.aclweb.org/anthology/P19-1530.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G254767521","display_name":"Developing incremental interpretation system based on a formal semantic approach","funder_award_id":"17K00303","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2983449479","display_name":null,"funder_award_id":"Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3236194794","display_name":null,"funder_award_id":"Grant-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4220906510","display_name":null,"funder_award_id":"Scientific Research (C)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4874944895","display_name":null,"funder_award_id":"-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7167128334","display_name":null,"funder_award_id":"Grant-in-Aid for Scientific Researc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7337825077","display_name":null,"funder_award_id":"Grant-in-Aid for Sc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8759943101","display_name":null,"funder_award_id":"rant-in-Aid for Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951757271.pdf","grobid_xml":"https://content.openalex.org/works/W2951757271.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1507020546","https://openalex.org/W1605758875","https://openalex.org/W1632114991","https://openalex.org/W1970906861","https://openalex.org/W2098967945","https://openalex.org/W2110416098","https://openalex.org/W2111889471","https://openalex.org/W2132864397","https://openalex.org/W2132893218","https://openalex.org/W2140436026","https://openalex.org/W2250525101","https://openalex.org/W2507121281","https://openalex.org/W2507294783","https://openalex.org/W2735411217","https://openalex.org/W2896457183","https://openalex.org/W2962739339","https://openalex.org/W2963084773","https://openalex.org/W2963341956","https://openalex.org/W2963643701","https://openalex.org/W3099448077"],"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":{"The":[0],"Penn":[1],"Treebank":[2],"(PTB)":[3],"represents":[4],"syntactic":[5],"structures":[6],"as":[7],"graphs":[8],"due":[9],"to":[10],"nonlocal":[11,32,62],"dependencies.":[12],"This":[13],"paper":[14],"proposes":[15],"a":[16],"method":[17,49],"that":[18,46],"approximates":[19],"PTB":[20],"graph-structured":[21],"representations":[22],"by":[23],"trees.":[24],"By":[25],"our":[26,47],"approximation":[27,48],"method,":[28],"we":[29],"can":[30],"reduce":[31],"dependency":[33,63],"identification":[34],"and":[35],"constituency":[36,54],"parsing":[37],"into":[38],"single":[39],"treebased":[40],"parsing.":[41],"An":[42],"experimental":[43],"result":[44],"demonstrates":[45],"with":[50],"an":[51],"off-the-shelf":[52],"tree-based":[53],"parser":[55],"significantly":[56],"outperforms":[57],"the":[58],"previous":[59],"methods":[60],"in":[61],"identification.":[64]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
