E3C_CAS_annotations_combined_v2是一个医疗命名实体识别(NER)数据集，包含疾病相关实体的标注信息。数据集包含id、文本标记(tokens)、命名实体标签(ner_tags)、标签文本(ner_tag_labels)和原始文本(text)等字段。ner_tags采用BIO标注方案，标注了疾病开始(B-Disorders)、疾病延续(I-Disorders)和其他(O)

Hugging Face2026-04-27 更新60

Additional file 3: of Automated extraction of Biomarker information from pathology reports

文本信息抽取

报告自动化处理

Table S1. Inter-Annotator Agreement (IAA) for gold standard set.Â (XLSX 8Â kb)

NIAID Data Ecosystem90

Temporal Model XLM-RoBERTa-Large_Tweets

时间表达式识别

文本信息抽取

Temporal Model "XLM-RoBERTa-Large" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Cla

DataCite Commons2023-11-06 更新60