{"id":"https://openalex.org/W4399173491","doi":"https://doi.org/10.1145/3660043.3660104","title":"A Relationship Extraction Model Based on Reinforcement Learning and Multi-Teacher Knowledge Distillation","display_name":"A Relationship Extraction Model Based on Reinforcement Learning and Multi-Teacher Knowledge Distillation","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399173491","doi":"https://doi.org/10.1145/3660043.3660104"},"language":"en","primary_location":{"id":"doi:10.1145/3660043.3660104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","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/A5080885163","display_name":"Zhenhao Cao","orcid":"https://orcid.org/0009-0007-6544-3389"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenhao Cao","raw_affiliation_strings":["Changchun University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029813563","display_name":"Ningjia Qiu","orcid":"https://orcid.org/0000-0002-7822-0041"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningjia Qiu","raw_affiliation_strings":["Changchun University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064439714","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0001-5165-6681"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Changchun University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080885163"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22479763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"340","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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":0.9983999729156494,"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/T12031","display_name":"Speech and dialogue systems","score":0.9779999852180481,"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":0.9663000106811523,"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/distillation","display_name":"Distillation","score":0.7907004952430725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7633933424949646},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7250007390975952},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6409550309181213},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6242082715034485},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5902769565582275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5448200702667236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5062843561172485},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4559687674045563},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.4437091648578644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1995287537574768},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0739017128944397},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07224592566490173}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7907004952430725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633933424949646},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7250007390975952},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6409550309181213},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6242082715034485},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5902769565582275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5448200702667236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5062843561172485},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4559687674045563},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4437091648578644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1995287537574768},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0739017128944397},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07224592566490173},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3660043.3660104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660043.3660104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence","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":11,"referenced_works":["https://openalex.org/W2561675875","https://openalex.org/W2620858438","https://openalex.org/W2963341956","https://openalex.org/W2965373594","https://openalex.org/W3094444847","https://openalex.org/W3110846353","https://openalex.org/W6600291067","https://openalex.org/W6601076540","https://openalex.org/W6601141708","https://openalex.org/W6601211009","https://openalex.org/W6629967362"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W618248309","https://openalex.org/W96612179","https://openalex.org/W2377336366","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1568097102","https://openalex.org/W1601203902","https://openalex.org/W1567818861","https://openalex.org/W2987774938"],"abstract_inverted_index":{"Pre-trained":[0],"models":[1,18,76],"significantly":[2],"enhance":[3],"the":[4,11,40,46,58,72,79,83,91,94,101,105,110,113],"effectiveness":[5],"of":[6,51,57,74,82,93,112],"relation":[7,28],"extraction":[8,29],"tasks,":[9],"but":[10],"high":[12],"computational":[13],"costs":[14],"associated":[15],"with":[16,43],"these":[17],"pose":[19],"challenges":[20],"for":[21],"deployment.":[22],"This":[23],"paper":[24],"introduces":[25],"a":[26,64],"dynamic":[27],"model":[30,37,42,60],"based":[31,77],"on":[32,78],"multi-teacher":[33],"knowledge":[34],"distillation.":[35],"The":[36,54],"jointly":[38],"trains":[39],"student":[41,59,84,95,114],"features":[44],"from":[45],"intermediate":[47],"and":[48,63],"output":[49],"layers":[50],"teacher":[52,75],"models.":[53],"training":[55,92],"progress":[56],"is":[61,68],"evaluated,":[62],"reinforcement":[65],"learning":[66],"approach":[67],"employed":[69],"to":[70],"optimize":[71],"selection":[73],"assessment":[80],"results":[81,98],"model.":[85,96,115],"Subsequently,":[86],"this":[87],"optimized":[88],"scheme":[89],"guides":[90],"Experimental":[97],"demonstrate":[99],"that":[100],"proposed":[102],"method":[103],"achieves":[104],"most":[106],"substantial":[107],"improvement":[108],"in":[109],"performance":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
