{"id":"https://openalex.org/W4386938473","doi":"https://doi.org/10.1007/978-3-031-44198-1_2","title":"A Document-Level Relation Extraction Framework with\u00a0Dynamic Pruning","display_name":"A Document-Level Relation Extraction Framework with\u00a0Dynamic Pruning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386938473","doi":"https://doi.org/10.1007/978-3-031-44198-1_2"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-44198-1_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-44198-1_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_Document-Level_Relation_Extraction_Framework_with_Dynamic_Pruning/27807318","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010177434","display_name":"Hanyue Zhang","orcid":"https://orcid.org/0000-0003-2838-3122"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyue Zhang","raw_affiliation_strings":["School of Computer and Information Science, Southwest University, Chongqing, 400700, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Southwest University, Chongqing, 400700, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361415","display_name":"Li Li","orcid":"https://orcid.org/0000-0003-4818-8770"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Computer and Information Science, Southwest University, Chongqing, 400700, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Southwest University, Chongqing, 400700, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031318875","display_name":"Jun Shen","orcid":"https://orcid.org/0000-0002-9403-7140"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Shen","raw_affiliation_strings":["School of Computer and Information Technology, University of Wollongong, Wollongong, NSW, 2522, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, University of Wollongong, Wollongong, NSW, 2522, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100361415"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"25"},"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":0.9980000257492065,"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":0.8888351917266846},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.752493143081665},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7029464244842529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6712950468063354},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6635522842407227},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5958781838417053},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.543664276599884},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.47966650128364563},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.47318553924560547},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.46337997913360596},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45098811388015747},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43381911516189575},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4287268817424774},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.4204287827014923},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3763912320137024},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20463183522224426},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.174796462059021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08686402440071106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8888351917266846},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.752493143081665},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7029464244842529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6712950468063354},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6635522842407227},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5958781838417053},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.543664276599884},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.47966650128364563},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.47318553924560547},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.46337997913360596},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45098811388015747},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43381911516189575},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4287268817424774},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.4204287827014923},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3763912320137024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20463183522224426},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.174796462059021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08686402440071106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-031-44198-1_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-44198-1_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:ro.uow.edu.au:test2021-15458","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/test2021/9911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Harvesting Series","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27807318","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Document-Level_Relation_Extraction_Framework_with_Dynamic_Pruning/27807318","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27807318","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Document-Level_Relation_Extraction_Framework_with_Dynamic_Pruning/27807318","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1551842868","https://openalex.org/W2138627627","https://openalex.org/W2346452181","https://openalex.org/W2511964075","https://openalex.org/W2892094955","https://openalex.org/W2920198243","https://openalex.org/W2949112260","https://openalex.org/W2962859618","https://openalex.org/W2963021258","https://openalex.org/W2964167098","https://openalex.org/W2971221499","https://openalex.org/W2971933740","https://openalex.org/W3093891978","https://openalex.org/W3102663935","https://openalex.org/W3103836967","https://openalex.org/W3113440918","https://openalex.org/W3116122129","https://openalex.org/W3167136668","https://openalex.org/W3173229273","https://openalex.org/W4282036033","https://openalex.org/W4293518760"],"related_works":["https://openalex.org/W2798237655","https://openalex.org/W159132833","https://openalex.org/W4317382096","https://openalex.org/W3082447286","https://openalex.org/W3203028781","https://openalex.org/W3127594525","https://openalex.org/W2100156244","https://openalex.org/W3114114934","https://openalex.org/W110692952","https://openalex.org/W2050313219"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}