Performance (F1 score) in practical negation detection situations.

Figshare2015-12-02 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/_Performance_F_1_score_in_practical_negation_detection_situations_/1239307 数据链接链接失效反馈

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资源简介：

Performance (F1 score) in practical negation detection situations.

创建时间：

2015-12-02

xNot360

自然语言处理

否定检测

xNot360数据集是由日本国立情报学研究所创建，专门用于评估GPT模型在自然语言中否定检测的能力。该数据集包含360个样本，涉及180个正样本和180个负样本，每个样本由5至20个单词组成，旨在通过多样化的句子结构全面测试模型处理否定的情况。数据集的创建旨在解决现有模型在处理否定时的局限性，特别是在高风险领域如医疗、法律和科学中的应用。通过这一数据集，研究者能够更深入地理解模型在处理复杂逻辑任务

arXiv2023-06-29 更新650

Performance (F 1 score) in practical negation detection situations.

否定检测

自然语言处理性能评估

Performance (F1 score) in practical negation detection situations.

NIAID Data Ecosystem60

F1-measure results for the local context kernel with combination of different feature sets: Negation scope and cue (N), Clause dependency (C), and neuTral candidate (T).

否定检测

文本评估

F1-measure results for the local context kernel with combination of different feature sets: Negation scope and cue (N), Clause dependency (C), and neuTral candidate (T).

Figshare2016-10-04 更新20

Extensive successful previous work on negation detection in clinical text.

临床文本处理

否定检测

Extensive successful previous work on negation detection in clinical text.

NIAID Data Ecosystem70

F1-measure results for the global context kernel with combination of different feature sets: Negation scope and cue (N), Clause dependency (C), and neuTral candidate (T).

否定检测

语义特征分析

F1-measure results for the global context kernel with combination of different feature sets: Negation scope and cue (N), Clause dependency (C), and neuTral candidate (T).

NIAID Data Ecosystem20

Performance (F1 score) in practical negation detection situations.

资源简介：

相关数据集