{"id":"https://openalex.org/W4306317304","doi":"https://doi.org/10.1145/3511808.3557313","title":"Evidence-aware Document-level Relation Extraction","display_name":"Evidence-aware Document-level Relation Extraction","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317304","doi":"https://doi.org/10.1145/3511808.3557313"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557313","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101751771","display_name":"Tianyu Xu","orcid":"https://orcid.org/0000-0003-2049-9016"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Xu","raw_affiliation_strings":["Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004652254","display_name":"Wen Hua","orcid":"https://orcid.org/0000-0001-5456-7035"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wen Hua","raw_affiliation_strings":["The University of Queensland, St Lucia, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland, St Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055672506","display_name":"Jianfeng Qu","orcid":"https://orcid.org/0000-0002-2596-2850"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Qu","raw_affiliation_strings":["Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065529268","display_name":"Zhixu Li","orcid":"https://orcid.org/0000-0003-2355-288X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixu Li","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086062267","display_name":"Jiajie Xu","orcid":"https://orcid.org/0000-0001-8227-8636"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Xu","raw_affiliation_strings":["Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340373","display_name":"An Liu","orcid":"https://orcid.org/0000-0002-6368-576X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Liu","raw_affiliation_strings":["Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070439966","display_name":"Lei Zhao","orcid":"https://orcid.org/0000-0002-5123-9279"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2311","last_page":"2320"},"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":0.9994999766349792,"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":0.9988999962806702,"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":0.6294407844543457},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.4995460510253906},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4809645712375641},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38316652178764343},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.30458760261535645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294407844543457},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4995460510253906},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4809645712375641},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38316652178764343},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30458760261535645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557313","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2310425190","https://openalex.org/W2746553466","https://openalex.org/W2788798739","https://openalex.org/W2907270291","https://openalex.org/W2951274974","https://openalex.org/W2952179106","https://openalex.org/W2962939608","https://openalex.org/W2963167310","https://openalex.org/W2964022985","https://openalex.org/W2986773982","https://openalex.org/W3035053871","https://openalex.org/W3093891978","https://openalex.org/W3101327207","https://openalex.org/W3103836967","https://openalex.org/W3104390324","https://openalex.org/W3114962796","https://openalex.org/W3116122129","https://openalex.org/W3136346046","https://openalex.org/W3167136668","https://openalex.org/W3173229273","https://openalex.org/W3174628768","https://openalex.org/W3174691662","https://openalex.org/W3175344781","https://openalex.org/W3188999884","https://openalex.org/W3197369495","https://openalex.org/W3212766995"],"related_works":["https://openalex.org/W4229029890","https://openalex.org/W2609844752","https://openalex.org/W2981341912","https://openalex.org/W2384888906","https://openalex.org/W4319940250","https://openalex.org/W2144190808","https://openalex.org/W4200635478","https://openalex.org/W3144259685","https://openalex.org/W2376314740","https://openalex.org/W2528512298"],"abstract_inverted_index":{"Document-level":[0],"Relation":[1],"Extraction":[2],"(RE)":[3],"is":[4,103],"a":[5,17,23,31,57,66,80,85,126,147],"promising":[6],"task":[7],"aiming":[8],"at":[9],"identifying":[10],"relations":[11],"of":[12,34,95,157],"multiple":[13],"entity":[14,123],"pairs":[15],"in":[16,20],"document.":[18],"However,":[19],"most":[21],"cases,":[22],"relational":[24],"fact":[25],"can":[26],"be":[27],"expressed":[28],"enough":[29],"via":[30],"small":[32],"subset":[33],"sentences":[35,51,114],"from":[36],"the":[37,91,106,132,155],"document,":[38],"namely":[39],"evidence":[40,50,76],"sentence.":[41],"Moreover,":[42],"there":[43],"often":[44],"exist":[45],"strong":[46],"semantic":[47],"correlations":[48],"between":[49,134],"that":[52],"collaborate":[53],"together":[54],"to":[55,110,118],"describe":[56],"specific":[58],"relation.":[59],"To":[60],"address":[61],"these":[62],"challenges,":[63],"we":[64,74],"propose":[65],"novel":[67],"evidence-aware":[68],"model":[69],"for":[70,129],"document-level":[71,142],"RE.":[72],"Particularly,":[73],"formulate":[75],"sentence":[77],"selection":[78],"as":[79],"sequential":[81],"decision":[82],"problem":[83],"through":[84],"crafted":[86],"reinforcement":[87,119],"learning":[88],"mechanism.":[89],"Considering":[90],"explosive":[92],"search":[93],"space":[94],"our":[96,158],"agent,":[97],"an":[98],"efficient":[99],"path":[100],"searching":[101],"strategy":[102],"executed":[104],"on":[105,140],"converted":[107],"document":[108,128],"graph":[109],"heuristically":[111],"obtain":[112],"hopeful":[113],"and":[115,145],"feed":[116],"them":[117],"learning.":[120],"Finally,":[121],"each":[122],"pair":[124],"owns":[125],"customized-filtered":[127],"further":[130],"inferring":[131],"relation":[133],"them.":[135],"We":[136],"conduct":[137],"various":[138],"experiments":[139],"two":[141],"RE":[143],"benchmarks":[144],"achieve":[146],"remarkable":[148],"improvement":[149],"over":[150],"previous":[151],"competitive":[152],"baselines,":[153],"verifying":[154],"effectiveness":[156],"method.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}