{"id":"https://openalex.org/W3156373352","doi":"https://doi.org/10.1145/3446999.3447027","title":"Joint Extraction of Entities and Relations for Chinese Text of Tea","display_name":"Joint Extraction of Entities and Relations for Chinese Text of Tea","publication_year":2020,"publication_date":"2020-12-25","ids":{"openalex":"https://openalex.org/W3156373352","doi":"https://doi.org/10.1145/3446999.3447027","mag":"3156373352"},"language":"en","primary_location":{"id":"doi:10.1145/3446999.3447027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446999.3447027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City","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/A5009465128","display_name":"Zihao Zhou","orcid":"https://orcid.org/0000-0002-7471-284X"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Zhou","raw_affiliation_strings":["College of Information Science and Engineering Shandong Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Shandong Agricultural University, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026729559","display_name":"Wenqian Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqian Mu","raw_affiliation_strings":["College of Information Science and Engineering Shandong Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Shandong Agricultural University, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017022088","display_name":"Xiaoxia Yang","orcid":"https://orcid.org/0000-0001-6464-4081"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxia Yang","raw_affiliation_strings":["College of Information Science and Engineering Shandong Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Shandong Agricultural University, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350233","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-7736-764X"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["College of Information Science and Engineering Shandong Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Shandong Agricultural University, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728356","display_name":"Zhenzhen Chen","orcid":"https://orcid.org/0000-0002-6773-1620"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Chen","raw_affiliation_strings":["College of Plant Protection Shandong Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"College of Plant Protection Shandong Agricultural University, China","institution_ids":["https://openalex.org/I74485261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009465128"],"corresponding_institution_ids":["https://openalex.org/I74485261"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58681221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9945999979972839,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9945999979972839,"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/T10028","display_name":"Topic Modeling","score":0.9829000234603882,"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":0.9817000031471252,"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/polysemy","display_name":"Polysemy","score":0.8681936264038086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7235256433486938},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.6995525360107422},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6444307565689087},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6269418001174927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6125677227973938},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6118173599243164},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5653226375579834},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.5269017219543457},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4827806055545807},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46563640236854553},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4421655237674713},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4218474328517914},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.41876912117004395},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3469027280807495},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19395986199378967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18719738721847534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18416252732276917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06827303767204285}],"concepts":[{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.8681936264038086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235256433486938},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.6995525360107422},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6444307565689087},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6269418001174927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6125677227973938},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6118173599243164},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5653226375579834},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.5269017219543457},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4827806055545807},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46563640236854553},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4421655237674713},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4218474328517914},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41876912117004395},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3469027280807495},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19395986199378967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18719738721847534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18416252732276917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06827303767204285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3446999.3447027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446999.3447027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City","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":9,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2251091211","https://openalex.org/W2380837368","https://openalex.org/W2611972942","https://openalex.org/W2799125718","https://openalex.org/W2808142148","https://openalex.org/W2896457183","https://openalex.org/W2962739339","https://openalex.org/W3002881589"],"related_works":["https://openalex.org/W2352298027","https://openalex.org/W4319940250","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2369351710","https://openalex.org/W2594363579","https://openalex.org/W2169232658","https://openalex.org/W2444550338"],"abstract_inverted_index":{"In":[0,14,74],"view":[1],"of":[2,5,10,25,58,65,68,85,93,96,149,163],"the":[3,31,39,56,63,76,83,91,129,137,143,161],"problems":[4],"polysemy":[6,59],"and":[7,27,38,62,90,116,134,146,153],"overlapping":[8,86],"relations":[9,87],"Chinese":[11,69,97,150],"tea":[12,70,98,151,164],"text.":[13],"this":[15],"paper,":[16],"we":[17],"present":[18],"a":[19,155],"joint":[20],"model":[21,46,77],"BERT-LCM-Tea":[22,107,138],"for":[23,142,157],"extraction":[24,95,123,148],"entities":[26],"relations,":[28],"which":[29,125],"combines":[30],"Bidirectional":[32],"Encoder":[33],"Representations":[34],"from":[35],"Transformers":[36],"(BERT)":[37],"last":[40,79],"character":[41,51,80],"matching":[42,81],"(LCM)":[43],"algorithm.":[44],"This":[45],"uses":[47,78],"BERT":[48],"to":[49,110,119],"fine-tuning":[50],"embedding":[52],"through":[53],"contextual":[54],"information,":[55],"problem":[57,84],"is":[60,72,88,100,126,139],"solved":[61,89],"performance":[64],"entity":[66,113,144],"recognition":[67,114,145],"text":[71,99],"improved.":[73,101],"addition,":[75],"algorithm,":[82],"accuracy":[92],"relation":[94,122,147],"The":[102],"experimental":[103],"results":[104],"show":[105],"that":[106],"F1":[108,117],"score":[109,118],"86.8%":[111],"in":[112,121],"task":[115],"77.1%":[120],"task,":[124],"higher":[127],"than":[128],"currently":[130],"popular":[131],"Bi-RNN-CRF,":[132],"Bi-LSTM-CRF":[133],"Bi-GRU-CRF.":[135],"Thus,":[136],"more":[140],"suitable":[141],"text,":[152],"provides":[154],"basis":[156],"future":[158],"research":[159],"on":[160],"construction":[162],"knowledge":[165],"graph.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
