{"id":"https://openalex.org/W4385570269","doi":"https://doi.org/10.18653/v1/2023.acl-long.623","title":"OD-RTE: A One-Stage Object Detection Framework for Relational Triple Extraction","display_name":"OD-RTE: A One-Stage Object Detection Framework for Relational Triple Extraction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385570269","doi":"https://doi.org/10.18653/v1/2023.acl-long.623"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.acl-long.623","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.acl-long.623","pdf_url":"https://aclanthology.org/2023.acl-long.623.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 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.acl-long.623.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019605874","display_name":"Jinzhong Ning","orcid":"https://orcid.org/0000-0002-0771-9742"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinzhong Ning","raw_affiliation_strings":["New York City","place_lived, Las Vegas","School of Computer Science and Technology, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"New York City","institution_ids":[]},{"raw_affiliation_string":"place_lived, Las Vegas","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051597671","display_name":"Zhihao Yang","orcid":"https://orcid.org/0000-0001-6186-2024"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Yang","raw_affiliation_strings":["New York City","place_lived, Las Vegas","School of Computer Science and Technology, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"New York City","institution_ids":[]},{"raw_affiliation_string":"place_lived, Las Vegas","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472979","display_name":"Yuanyuan Sun","orcid":"https://orcid.org/0000-0003-2805-5911"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Sun","raw_affiliation_strings":["New York City","School of Computer Science and Technology, Dalian University of Technology, China","place_lived, Las Vegas"],"affiliations":[{"raw_affiliation_string":"New York City","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"place_lived, Las Vegas","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087031397","display_name":"Zhizheng Wang","orcid":"https://orcid.org/0000-0003-2584-136X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizheng Wang","raw_affiliation_strings":["place_lived, Las Vegas","School of Computer Science and Technology, Dalian University of Technology, China","New York City"],"affiliations":[{"raw_affiliation_string":"place_lived, Las Vegas","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"New York City","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023931221","display_name":"Hongfei Lin","orcid":"https://orcid.org/0000-0003-0872-7688"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Lin","raw_affiliation_strings":["New York City","School of Computer Science and Technology, Dalian University of Technology, China","place_lived, Las Vegas"],"affiliations":[{"raw_affiliation_string":"New York City","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"place_lived, Las Vegas","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019605874"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":2.3695,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90608852,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"11120","last_page":"11135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.7854447364807129},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6894664764404297},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6260812878608704},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.590008020401001},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5616719722747803},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5483527779579163},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5317068696022034},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5298036336898804},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5211670398712158},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4936884343624115},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.425743967294693},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41846945881843567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3994206190109253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3921981453895569},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3375817537307739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29822924733161926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16527920961380005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08355376124382019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854447364807129},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6894664764404297},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6260812878608704},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.590008020401001},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5616719722747803},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5483527779579163},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5317068696022034},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5298036336898804},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5211670398712158},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4936884343624115},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.425743967294693},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41846945881843567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3994206190109253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3921981453895569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3375817537307739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29822924733161926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16527920961380005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08355376124382019},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.acl-long.623","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.acl-long.623","pdf_url":"https://aclanthology.org/2023.acl-long.623.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 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.acl-long.623","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.acl-long.623","pdf_url":"https://aclanthology.org/2023.acl-long.623.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 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G442173326","display_name":null,"funder_award_id":"62276043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5754591407","display_name":null,"funder_award_id":"62076046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7162057143","display_name":null,"funder_award_id":"DUT22ZD205","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385570269.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1604644367","https://openalex.org/W2053238041","https://openalex.org/W2102605133","https://openalex.org/W2132516856","https://openalex.org/W2162590473","https://openalex.org/W2792643794","https://openalex.org/W2798734500","https://openalex.org/W2808142148","https://openalex.org/W2896457183","https://openalex.org/W2963037989","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W2996825178","https://openalex.org/W3012573144","https://openalex.org/W3034617555","https://openalex.org/W3084874487","https://openalex.org/W3105293920","https://openalex.org/W3106250896","https://openalex.org/W3116427155","https://openalex.org/W3176680950","https://openalex.org/W3177474367","https://openalex.org/W3199047918","https://openalex.org/W4226470037","https://openalex.org/W4283802662","https://openalex.org/W4297933772","https://openalex.org/W4307225154","https://openalex.org/W4310840369","https://openalex.org/W4394657967"],"related_works":["https://openalex.org/W4327500857","https://openalex.org/W842810586","https://openalex.org/W2965994363","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W1689909837","https://openalex.org/W4311223090","https://openalex.org/W2092919065","https://openalex.org/W3138801416","https://openalex.org/W4205729548"],"abstract_inverted_index":{"The":[0,131],"Relational":[1,65],"Triple":[2,66],"Extraction":[3,67],"(RTE)":[4],"task":[5,47,56],"is":[6],"a":[7,59],"fundamental":[8],"and":[9,57,128,149,163],"essential":[10],"information":[11,37,88],"extraction":[12],"task.":[13],"Recently,":[14],"the":[15,45,72,108,115,119,124,139,154,178],"table-filling":[16,50,157],"RTE":[17,46],"methods":[18],"have":[19],"received":[20],"lots":[21],"of":[22,38,89,104,112,126],"attention.":[23],"Despite":[24],"their":[25],"success,":[26],"they":[27],"suffer":[28],"from":[29],"some":[30],"inherent":[31],"problems":[32],"such":[33],"as":[34,52],"underutilizing":[35],"regional":[36,87],"triple.":[39],"In":[40,69,106],"this":[41,70,176],"work,":[42],"we":[43],"treat":[44],"based":[48],"on":[49,142],"method":[51],"an":[53],"Object":[54,61],"Detection":[55,62],"propose":[58],"one-stage":[60],"framework":[63],"for":[64],"(OD-RTE).":[68],"framework,":[71],"vertices-based":[73],"bounding":[74],"box":[75],"detection,":[76,84],"coupled":[77],"with":[78,153,166],"auxiliary":[79],"global":[80],"relational":[81],"triple":[82,90],"region":[83],"ensuring":[85],"that":[86,135],"could":[91,100],"be":[92],"fully":[93],"utilized.":[94],"Besides,":[95],"our":[96],"proposed":[97],"decoding":[98],"scheme":[99],"extract":[101],"all":[102],"types":[103],"triples.":[105],"addition,":[107],"negative":[109,129],"sampling":[110],"strategy":[111],"relations":[113],"in":[114,175],"training":[116,120,162],"stage":[117],"improves":[118],"efficiency":[121],"while":[122],"alleviating":[123],"imbalance":[125],"positive":[127],"relations.":[130],"experimental":[132],"results":[133],"show":[134],"1)":[136],"OD-RTE":[137,159],"achieves":[138,160],"state-of-the-art":[140],"performance":[141],"two":[143],"widely":[144],"used":[145],"datasets":[146],"(i.e.,":[147],"NYT":[148],"WebNLG).":[150],"2)":[151],"Compared":[152],"best":[155],"performing":[156],"method,":[158],"faster":[161],"inference":[164],"speed":[165],"lower":[167],"GPU":[168],"memory":[169],"usage.":[170],"To":[171],"facilitate":[172],"future":[173],"research":[174],"area,":[177],"codes":[179],"are":[180],"publicly":[181],"available":[182],"at":[183],"https://github.com/NingJinzhong/ODRTE.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
