{"id":"https://openalex.org/W2978453743","doi":"https://doi.org/10.1109/ijcnn.2019.8852069","title":"Distantly Supervised Relation Extraction through a Trade-off Mechanism","display_name":"Distantly Supervised Relation Extraction through a Trade-off Mechanism","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978453743","doi":"https://doi.org/10.1109/ijcnn.2019.8852069","mag":"2978453743"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014661690","display_name":"Jun Ni","orcid":"https://orcid.org/0000-0002-7105-8475"},"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":"Jun Ni","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618357","display_name":"Y\u00fc Liu","orcid":"https://orcid.org/0000-0003-2211-3535"},"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":"Yu Liu","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437067","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0002-8828-2887"},"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":"Kai Wang","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042620633","display_name":"Zhehuan Zhao","orcid":"https://orcid.org/0000-0002-5001-1352"},"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":"Zhehuan Zhao","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080744092","display_name":"Quan Z. Sheng","orcid":"https://orcid.org/0000-0002-3326-4147"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014661690"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11721676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1409 473","issue":null,"first_page":"1","last_page":"8"},"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":0.9997000098228455,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9980999827384949,"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/relationship-extraction","display_name":"Relationship extraction","score":0.8446682095527649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8157594203948975},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6827090382575989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974441170692444},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5971672534942627},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5769510269165039},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5681127905845642},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5412454605102539},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5322055220603943},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5136520266532898},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42806270718574524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3587535619735718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29399561882019043}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.8446682095527649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8157594203948975},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6827090382575989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974441170692444},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5971672534942627},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5769510269165039},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5681127905845642},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5412454605102539},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5322055220603943},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5136520266532898},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42806270718574524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3587535619735718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29399561882019043},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W174427690","https://openalex.org/W1512387364","https://openalex.org/W1533230146","https://openalex.org/W1604644367","https://openalex.org/W1934084512","https://openalex.org/W2107598941","https://openalex.org/W2132679783","https://openalex.org/W2133564696","https://openalex.org/W2150588363","https://openalex.org/W2163362093","https://openalex.org/W2250521169","https://openalex.org/W2251135946","https://openalex.org/W2440094130","https://openalex.org/W2515462165","https://openalex.org/W2517194566","https://openalex.org/W2591368218","https://openalex.org/W2604610161","https://openalex.org/W2606974598","https://openalex.org/W2728059831","https://openalex.org/W2734519248","https://openalex.org/W2739722817","https://openalex.org/W2741928062","https://openalex.org/W2759996146","https://openalex.org/W2822194211","https://openalex.org/W2951345965","https://openalex.org/W2962924839","https://openalex.org/W2963655104","https://openalex.org/W2964308564","https://openalex.org/W6630579473","https://openalex.org/W6631964550","https://openalex.org/W6636320352","https://openalex.org/W6679434410","https://openalex.org/W6679781796","https://openalex.org/W6682297019","https://openalex.org/W6691723933","https://openalex.org/W6735888106","https://openalex.org/W6740216407","https://openalex.org/W6752849246"],"related_works":["https://openalex.org/W2805262146","https://openalex.org/W4379517534","https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W3138801416","https://openalex.org/W4236762297","https://openalex.org/W2444550338","https://openalex.org/W2369351710"],"abstract_inverted_index":{"Distantly":[0],"supervised":[1],"relation":[2,32],"extraction":[3],"can":[4,27,40],"label":[5],"large":[6],"amounts":[7],"of":[8,31,50,69,95],"unstructured":[9],"text":[10,70,96],"without":[11],"human":[12],"annotations":[13],"for":[14,101],"training.":[15],"However,":[16],"distant":[17],"supervision":[18],"inevitably":[19],"accompanies":[20],"with":[21,61],"the":[22,29,36,48,67,75,93,113,117,125],"wrong":[23],"labeling":[24],"problem,":[25],"which":[26,39,65],"deteriorate":[28],"performance":[30],"extraction.":[33],"What's":[34],"more,":[35],"entity-pair":[37],"information,":[38,43],"enrich":[41],"instance":[42],"is":[44,85],"still":[45],"underutilized.":[46],"In":[47],"light":[49],"these":[51],"issues,":[52],"we":[53],"propose":[54],"TMNN,":[55],"a":[56,62,86,107],"novel":[57],"Neural":[58],"Network":[59],"framework":[60],"Trade-off":[63],"Mechanism,":[64],"combines":[66],"feature":[68],"and":[71,97,120],"entity":[72,99],"pair":[73,100],"on":[74,106],"sentence":[76],"level":[77],"to":[78,90],"predict":[79],"relations.":[80],"Our":[81],"proposed":[82,114],"trade-off":[83],"mechanism":[84],"probability":[87],"generation":[88],"module":[89],"dynamically":[91],"adjust":[92],"weights":[94],"corresponding":[98],"each":[102],"sentence.":[103],"Experimental":[104],"results":[105],"widely":[108],"used":[109],"dataset":[110],"show":[111],"that":[112],"method":[115],"reduces":[116],"noisy":[118],"labels":[119],"achieves":[121],"substantial":[122],"improvement":[123],"over":[124],"state-of-the-art":[126],"methods.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
