{"doi":"10.1007/978-3-031-45392-2_6","title":"Optimization Strategies for BERT-Based Named Entity Recognition","abstract":null,"journal":"Lecture Notes in Computer Science","year":2023,"id":624219,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":209296,"name":"Cleber Zanchettin","orcid":"0000-0001-6421-9747","position":1,"is_corresponding":false},{"id":1613529,"name":"Monique Monteiro","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Optimization Strategies for BERT-Based Named Entity Recognition","abstract":null,"is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W4387517132","authors":[],"funders":[],"total_grants":0,"fwci":0.2178,"citation_percentile":0.4584984,"influential_citations":0,"citation_trend":[{"year":2024,"count":1}],"oa_status":"closed","license":"https://www.springernature.com/gp/researchers/text-and-data-mining","oa_locations":[{"url":"https://link.springer.com/content/pdf/10.1007/978-3-031-45392-2_6","host_type":"publisher"},{"url":"https://doi.org/10.1007/978-3-031-45392-2_6","host_type":"book series"}],"fields_of_study":["Topic Modeling","Natural Language Processing Techniques","Speech and dialogue systems"],"mesh_terms":[],"keywords":["Named-entity recognition","Computer science","Language model","Transformer","Domain adaptation","Artificial intelligence","Natural language processing","Transfer of learning","Question answering","Task (project management)","Domain (mathematical analysis)","Entity linking","Machine learning","Classifier (UML)"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Quality Education"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T03:05:37.599687Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}