ACE 2005 Multilingual Training Corpus

ACE 2005 Multilingual Training Corpus was developed by the Linguistic Data Consortium (LDC) and contains approximately 1,800 files of mixed genre text in English, Arabic, and Chinese annotated for entities, relations, and events. This represents the complete set of training data in those languages for the 2005 Automatic Content Extraction (ACE) technology evaluation. The genres include newswire, broadcast news, broadcast conversation, weblog, discussion forums, and conversational telephone speech. The data was annotated by LDC with support from the ACE Program and additional assistance from LDC.

The objective of the ACE program was to develop automatic content extraction technology to support automatic processing of human language in text form.

In November 2005, sites were evaluated on system performance in five primary areas: the recognition of entities, values, temporal expressions, relations, and events. Entity, relation, and event mention detection were also offered as diagnostic tasks. All tasks with the exception of event tasks were performed for three languages, English, Chinese, and Arabic. Events tasks were evaluated in English and Chinese only. This release comprises the official training data for these evaluation tasks.

For more information about linguistic resources for the ACE Program, including annotation guidelines, task definitions and other documentation, see LDC's ACE website.
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Suggested citation:
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Walker, Christopher, et al. ACE 2005 Multilingual Training Corpus LDC2006T06. Web Download. Philadelphia: Linguistic Data Consortium, 2006.

ACE 2005多语言训练语料库（ACE 2005 Multilingual Training Corpus）由语言数据联盟（Linguistic Data Consortium, LDC）开发，包含约1800份涵盖英语、阿拉伯语、汉语三种语言的多体裁文本文件，均针对实体、关系与事件进行了标注。该语料库为2005年自动内容抽取（Automatic Content Extraction, ACE）技术评测中对应语言的完整训练数据集。该语料库涵盖的文本体裁包括新闻专线稿件、广播新闻、广播对话、博客、论坛讨论板块以及电话会话语音。该数据集的标注工作由LDC在ACE项目支持下完成，并获得了额外协助。

ACE项目的核心目标是研发自动内容抽取技术，以支持对文本形式人类语言的自动处理。

2005年11月，各参评站点围绕五大核心领域开展系统性能评测：实体识别、属性值识别、时间表达式识别、关系识别与事件识别。实体、关系与事件提及检测亦作为诊断任务开放。除事件类任务外，所有任务均支持英语、汉语与阿拉伯语三种语言；事件类任务仅针对英语与汉语开展评测。本次发布的数据集即为上述评测任务的官方训练数据。

如需了解ACE项目相关语言资源（包括标注指南、任务定义及其他文档），请访问LDC的ACE官方网站。

建议引用格式：
沃克, 克里斯托弗, 等. ACE 2005多语言训练语料库LDC2006T06[EB/OL]. 网络下载. 费城：语言数据联盟, 2006.

搜集汇总

背景与挑战

背景概述

ACE 2005 Multilingual Training Corpus是一个多语言文本数据集，由Linguistic Data Consortium开发，包含约1,800个英语、阿拉伯语和中文的混合类型文件，标注了实体、关系和事件。该数据集是2005年自动内容提取（ACE）技术评估的完整训练数据，支持自然语言处理任务，如信息提取和事件检测，但事件任务仅涵盖英语和中文。