{"id":"https://openalex.org/W2964273534","doi":"https://doi.org/10.24963/ijcai.2018/620","title":"Joint Extraction of Entities and Relations Based on a Novel Graph Scheme","display_name":"Joint Extraction of Entities and Relations Based on a Novel Graph Scheme","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2964273534","doi":"https://doi.org/10.24963/ijcai.2018/620","mag":"2964273534"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/620","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/620","pdf_url":"https://www.ijcai.org/proceedings/2018/0620.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0620.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070059389","display_name":"Shaolei Wang","orcid":"https://orcid.org/0000-0002-0691-9179"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaolei Wang","raw_affiliation_strings":["Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333738","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-6327-5023"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Singapore University of Technology and Design"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019108029","display_name":"Wanxiang Che","orcid":"https://orcid.org/0000-0002-3907-0335"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanxiang Che","raw_affiliation_strings":["Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101554099","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0002-7600-0934"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1304,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.97656799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4461","last_page":"4467"},"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937000274658203,"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":0.7931198477745056},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6580285429954529},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.6148631572723389},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5664240121841431},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.47752702236175537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4626968502998352},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44958779215812683},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4446639120578766},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.42349761724472046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3418978452682495},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.2988923192024231},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2742902636528015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09333434700965881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931198477745056},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6580285429954529},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.6148631572723389},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5664240121841431},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.47752702236175537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4626968502998352},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44958779215812683},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4446639120578766},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.42349761724472046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3418978452682495},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2988923192024231},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2742902636528015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09333434700965881},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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:10.24963/ijcai.2018/620","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/620","pdf_url":"https://www.ijcai.org/proceedings/2018/0620.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/620","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/620","pdf_url":"https://www.ijcai.org/proceedings/2018/0620.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G304842684","display_name":"\u7ed3\u5408\u7528\u6237\u95f4\u76f8\u4e92\u5173\u6ce8\u7684\u4e2a\u6027\u5316APP\u56fe\u63a8\u8350\u6a21\u578b\u7814\u7a76","funder_award_id":"61772156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4165806713","display_name":null,"funder_award_id":"61632011","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964273534.pdf","grobid_xml":"https://content.openalex.org/works/W2964273534.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2020278455","https://openalex.org/W2053238041","https://openalex.org/W2105549195","https://openalex.org/W2105847779","https://openalex.org/W2107598941","https://openalex.org/W2116983617","https://openalex.org/W2132679783","https://openalex.org/W2134033474","https://openalex.org/W2134036914","https://openalex.org/W2138627627","https://openalex.org/W2154668152","https://openalex.org/W2250451826","https://openalex.org/W2251091211","https://openalex.org/W2296194829","https://openalex.org/W2296283641","https://openalex.org/W2515462165","https://openalex.org/W2574163994","https://openalex.org/W2741956709","https://openalex.org/W2788405243","https://openalex.org/W2808142148","https://openalex.org/W2949952998","https://openalex.org/W2951450498","https://openalex.org/W2963171262","https://openalex.org/W2964167098","https://openalex.org/W2964349647"],"related_works":["https://openalex.org/W4387688064","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2976808399","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W4220731478","https://openalex.org/W1974101135","https://openalex.org/W2017509870","https://openalex.org/W4251141768"],"abstract_inverted_index":{"Both":[0],"entity":[1],"and":[2,28,31,47,71,100],"relation":[3],"extraction":[4],"can":[5,83,92],"benefit":[6],"from":[7],"being":[8],"performed":[9],"jointly,":[10],"allowing":[11],"each":[12],"task":[13,60],"to":[14,39,76],"correct":[15],"the":[16,19,58,78,117],"errors":[17],"of":[18],"other.":[20],"Most":[21],"existing":[22],"neural":[23],"joint":[24,33,59,85,88],"methods":[25],"extract":[26],"entities":[27,46,99],"relations":[29,48],"separately":[30],"achieve":[32,84],"learning":[34,86],"through":[35,87],"parameter":[36],"sharing,":[37],"leading":[38],"a":[40,62,67,73],"drawback":[41],"that":[42,113],"information":[43],"between":[44,98,104],"output":[45],"cannot":[49],"be":[50],"fully":[51],"exploited.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"convert":[57],"into":[61],"directed":[63,79],"graph":[64,69,80],"by":[65],"designing":[66],"novel":[68],"scheme":[70],"propose":[72],"transition-based":[74],"approach":[75,115],"generate":[77],"incrementally,":[81],"which":[82],"decoding.":[89],"Our":[90],"method":[91],"model":[93],"underlying":[94],"dependencies":[95],"not":[96],"only":[97],"relations,":[101],"but":[102],"also":[103],"relations.":[105],"Experiments":[106],"on":[107],"NewYork":[108],"Times":[109],"(NYT)":[110],"corpora":[111],"show":[112],"our":[114],"outperforms":[116],"state-of-the-art":[118],"methods.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":27}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
