{"id":"https://openalex.org/W2740759433","doi":"https://doi.org/10.24963/ijcai.2017/559","title":"Effective Deep Memory Networks for Distant Supervised Relation Extraction","display_name":"Effective Deep Memory Networks for Distant Supervised Relation Extraction","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2740759433","doi":"https://doi.org/10.24963/ijcai.2017/559","mag":"2740759433"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/559","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/559","pdf_url":"https://www.ijcai.org/proceedings/2017/0559.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth 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/2017/0559.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073213620","display_name":"Xiaocheng Feng","orcid":"https://orcid.org/0000-0001-6011-0496"},"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":"Xiaocheng Feng","raw_affiliation_strings":["Harbin Institute of Technology","Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455522","display_name":"Jiang Guo","orcid":"https://orcid.org/0000-0002-9816-805X"},"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":"Jiang Guo","raw_affiliation_strings":["Harbin Institute of Technology","Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017671620","display_name":"Bing Qin","orcid":"https://orcid.org/0000-0002-2543-5604"},"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":"Bing Qin","raw_affiliation_strings":["Harbin Institute of Technology","Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418171","display_name":"Ting Liu","orcid":"https://orcid.org/0009-0007-1999-2600"},"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":["Harbin Institute of Technology","Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100698551","display_name":"Yongjie Liu","orcid":"https://orcid.org/0000-0003-3125-8760"},"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":"Yongjie Liu","raw_affiliation_strings":["Harbin Institute of Technology","Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":122,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4002","last_page":"4008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"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":0.9991999864578247,"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":0.8331830501556396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6597027778625488},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5832082033157349},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5815818309783936},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5500770807266235},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5262954831123352},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5208321809768677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5153988599777222},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5144858360290527},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48964768648147583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4416193962097168},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42725762724876404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32931041717529297},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32313454151153564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28614234924316406},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.2534095048904419}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331830501556396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6597027778625488},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5832082033157349},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5815818309783936},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5500770807266235},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5262954831123352},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5208321809768677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5153988599777222},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5144858360290527},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48964768648147583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4416193962097168},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42725762724876404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32931041717529297},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32313454151153564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28614234924316406},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2534095048904419},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/559","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/559","pdf_url":"https://www.ijcai.org/proceedings/2017/0559.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/559","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/559","pdf_url":"https://www.ijcai.org/proceedings/2017/0559.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"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"},{"id":"https://openalex.org/G4243412236","display_name":null,"funder_award_id":"863 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4507937796","display_name":null,"funder_award_id":"No. 61632011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6931470713","display_name":null,"funder_award_id":"2015AA015407","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/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740759433.pdf","grobid_xml":"https://content.openalex.org/works/W2740759433.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W174427690","https://openalex.org/W1604644367","https://openalex.org/W2047995599","https://openalex.org/W2095705004","https://openalex.org/W2107598941","https://openalex.org/W2132679783","https://openalex.org/W2152269015","https://openalex.org/W2153579005","https://openalex.org/W2250521169","https://openalex.org/W2250539671","https://openalex.org/W2250575108","https://openalex.org/W2251135946","https://openalex.org/W2251622960","https://openalex.org/W2260776682","https://openalex.org/W2515462165","https://openalex.org/W2577666659","https://openalex.org/W2951008357","https://openalex.org/W2962785888","https://openalex.org/W2962965405","https://openalex.org/W2963168371","https://openalex.org/W2964217331","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W4392969631","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W4221160509","https://openalex.org/W2547211086","https://openalex.org/W2538200646","https://openalex.org/W1968988659","https://openalex.org/W2888033806"],"abstract_inverted_index":{"Distant":[0],"supervised":[1,41],"relation":[2],"extraction":[3],"(RE)":[4,42],"has":[5],"been":[6],"an":[7,117],"effective":[8],"way":[9],"of":[10,72,77,85,109],"finding":[11],"novel":[12,36],"relational":[13],"facts":[14],"from":[15],"text":[16],"without":[17],"labeled":[18],"training":[19],"data.":[20],"Typically":[21],"it":[22],"can":[23],"be":[24],"formalized":[25],"as":[26,59,89,91],"a":[27,35,112],"multi-instance":[28],"multi-label":[29],"problem.In":[30],"this":[31],"paper,":[32],"we":[33],"introduce":[34],"neural":[37,56,113],"approach":[38,62,127],"for":[39,81],"distant":[40],"with":[43,104],"specific":[44],"focus":[45],"on":[46,121],"attention":[47,114],"mechanisms.Unlike":[48],"the":[49,75,83,86,92],"feature-based":[50],"logistic":[51],"regression":[52],"model":[53,115],"and":[54,99,130],"compositional":[55],"models":[57],"such":[58],"CNN,":[60],"our":[61,126],"includes":[63],"two":[64],"major":[65],"attention-based":[66],"memory":[67],"components,":[68],"which":[69,110],"is":[70,111],"capable":[71],"explicitly":[73],"capturing":[74],"importance":[76,97],"each":[78,108],"context":[79],"word":[80],"modeling":[82],"representation":[84],"entity":[87],"pair,":[88],"well":[90],"intrinsic":[93],"dependencies":[94],"between":[95],"relations.Such":[96],"degree":[98],"dependency":[100],"relationship":[101],"are":[102],"calculated":[103],"multiple":[105],"computational":[106],"layers,":[107],"over":[116],"external":[118],"memory.":[119],"Experiment":[120],"real-world":[122],"datasets":[123],"shows":[124],"that":[125],"performs":[128],"significantly":[129],"consistently":[131],"better":[132],"than":[133],"various":[134],"baselines.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}