research-backup/semeval2012_relational_similarity

SemEval2012任务2关系相似性数据集用于微调RelBERT模型，包含89个预定义关系的正负词对列表。这些关系类型基于10个父关系类型构建，并进一步细分为子关系类型。数据集结构包括训练集和验证集，每个关系类型都有相应的正负词对数量统计。

原始信息汇总

数据集概述

基本信息

• 名称: SemEval2012 task 2 Relational Similarity
• 语言: 英语
• 许可证: 其他
• 多语言性: 单语
• 大小: 1K<n<10K

数据集描述

• 来源: SemEval2012 task 2

• 用途: 用于微调RelBERT模型

• 内容: 包含89个预定义关系下的正负词对列表

• 关系类型: 基于10个父关系类型构建，具体类型如下：

  { 1: "Class Inclusion", # Hypernym 2: "Part-Whole", # Meronym, Substance Meronym 3: "Similar", # Synonym, Co-hypornym 4: "Contrast", # Antonym 5: "Attribute", # Attribute, Event 6: "Non Attribute", 7: "Case Relation", 8: "Cause-Purpose", 9: "Space-Time", 10: "Representation" }

数据集结构

• 数据实例: 每个实例包含关系类型、正词对和负词对
• 数据分割:
  • 训练集: 89个实例
  • 验证集: 89个实例

数据统计

• 正负词对数量:
  • 训练集: 总计1580个正词对，70207个负词对
  • 验证集: 总计1778个正词对，78820个负词对

引用信息

@inproceedings{jurgens-etal-2012-semeval, title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity", author = "Jurgens, David and Mohammad, Saif and Turney, Peter and Holyoak, Keith", booktitle = "*{SEM} 2012: The First Joint Conference on Lexical and Computational Semantics {--} Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation ({S}em{E}val 2012)", month = "7-8 " # jun, year = "2012", address = "Montr{e}al, Canada", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/S12-1047", pages = "356--364", }