{"id":"https://openalex.org/W2891935547","doi":"https://doi.org/10.18653/v1/d18-1249","title":"Extracting Entities and Relations with Joint Minimum Risk Training","display_name":"Extracting Entities and Relations with Joint Minimum Risk Training","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891935547","doi":"https://doi.org/10.18653/v1/d18-1249","mag":"2891935547"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1249","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1249","pdf_url":"https://www.aclweb.org/anthology/D18-1249.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1249.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030747910","display_name":"Changzhi Sun","orcid":"https://orcid.org/0009-0003-3123-3499"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changzhi Sun","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118458994","display_name":"Yuanbin Wu","orcid":"https://orcid.org/0000-0002-4665-6350"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbin Wu","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University","Shanghai Key Laboratory of Multidimensional Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057508424","display_name":"Man Lan","orcid":"https://orcid.org/0000-0002-1423-1286"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Lan","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University","Shanghai Key Laboratory of Multidimensional Information Processing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047846625","display_name":"Shiliang Sun","orcid":"https://orcid.org/0000-0001-7069-3752"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiliang Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075077562","display_name":"Meng Wan","orcid":"https://orcid.org/0000-0001-5965-6272"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wenting Wang","raw_affiliation_strings":["Alibaba Group","Department of Computer Science and Technology, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]},{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062270059","display_name":"Kuang-Chih Lee","orcid":"https://orcid.org/0009-0007-5198-9866"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuang-Chih Lee","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087597197","display_name":"Kewen Wu","orcid":"https://orcid.org/0000-0002-5894-822X"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kewen Wu","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5030747910"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":6.4327,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.9723141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2256","last_page":"2265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T10260","display_name":"Software Engineering Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8362110257148743},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7885656952857971},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7538572549819946},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7248046398162842},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.7102765440940857},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6302593946456909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5665919184684753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5503267645835876},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5013220310211182},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.497346431016922},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4831923544406891},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48024728894233704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3825722932815552},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06094855070114136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8362110257148743},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7885656952857971},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7538572549819946},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7248046398162842},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.7102765440940857},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6302593946456909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5665919184684753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5503267645835876},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5013220310211182},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.497346431016922},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4831923544406891},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48024728894233704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3825722932815552},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06094855070114136},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1249","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1249","pdf_url":"https://www.aclweb.org/anthology/D18-1249.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1249","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1249","pdf_url":"https://www.aclweb.org/anthology/D18-1249.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5515776555","display_name":null,"funder_award_id":"61673179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5661849975","display_name":null,"funder_award_id":"ZF1213","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/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891935547.pdf","grobid_xml":"https://content.openalex.org/works/W2891935547.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W648786980","https://openalex.org/W1515851193","https://openalex.org/W1604644367","https://openalex.org/W1940872118","https://openalex.org/W1996787131","https://openalex.org/W1999874108","https://openalex.org/W2064675550","https://openalex.org/W2096557251","https://openalex.org/W2132516856","https://openalex.org/W2134033474","https://openalex.org/W2137143056","https://openalex.org/W2146574666","https://openalex.org/W2169498096","https://openalex.org/W2169819436","https://openalex.org/W2341718173","https://openalex.org/W2463106940","https://openalex.org/W2511598956","https://openalex.org/W2512597464","https://openalex.org/W2515462165","https://openalex.org/W2539469848","https://openalex.org/W2741956709","https://openalex.org/W2759056771","https://openalex.org/W2808142148","https://openalex.org/W2951450498","https://openalex.org/W2962955856","https://openalex.org/W2963167310","https://openalex.org/W2963463964","https://openalex.org/W2964123521","https://openalex.org/W2964167098"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W2981341912","https://openalex.org/W4385734297","https://openalex.org/W4221160509","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W2547211086","https://openalex.org/W3114142812","https://openalex.org/W4380551175"],"abstract_inverted_index":{"We":[0,50],"investigate":[1],"the":[2,43,47,59,66],"task":[3],"of":[4],"joint":[5,17,81],"entity":[6,44],"relation":[7,48],"extraction.":[8],"Unlike":[9],"prior":[10],"efforts,":[11],"we":[12],"propose":[13],"a":[14,30,52],"new":[15],"lightweight":[16],"learning":[18],"paradigm":[19],"based":[20],"on":[21,65],"minimum":[22],"risk":[23],"training":[24],"(MRT).":[25],"Specifically,":[26],"our":[27,74],"algorithm":[28],"optimizes":[29],"global":[31],"loss":[32],"function":[33],"which":[34],"is":[35,61,76],"flexible":[36],"and":[37,46,54,69],"effective":[38],"to":[39,78],"explore":[40],"interactions":[41],"between":[42],"model":[45,75],"model.":[49],"implement":[51],"strong":[53],"simple":[55],"neural":[56],"network":[57],"where":[58],"MRT":[60],"executed.":[62],"Experiment":[63],"results":[64],"benchmark":[67],"ACE05":[68],"NYT":[70],"datasets":[71],"show":[72],"that":[73],"able":[77],"achieve":[79],"state-of-the-art":[80],"extraction":[82],"performances.":[83]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":9}],"updated_date":"2026-05-13T06:04:23.736269","created_date":"2025-10-10T00:00:00"}
