A Database of Attribution Relations
A Database of Attribution Relations
复制标题
归因关系数据库
DOI：
--
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Silvia Pareti
中科院分区：
文献类型：
--
作者：
Silvia Pareti
归因的重要性变得越来越明显，因为它的相关性，特别是意见分析和信息提取应用程序。归属将有助于确定对某一特定专题的不同观点或检索感兴趣的特定来源的声明，而且还有助于选择更相关和更可靠的信息。然而，迄今为止，可用于进行归因研究的资源有限，而且是部分资源，这决定了只有一部分归因结构得到了确定和处理。本文介绍了收集和进一步注释的数据库超过9800个属性关系从宾夕法尼亚大学话语树库（PDTB）。其目的是建立一个庞大而完整的资源，填补该领域的一个关键空白，并能够培训和测试强大的归因提取系统。
The importance of attribution is becoming evident due to its relevance in particular for Opinion Analysis and Information Extraction applications. Attribution would allow to identify different perspectives on a given topic or retrieve the statements of a specific source of interest, but also to select more relevant and reliable information. However, the scarce and partial resources available to date to conduct attribution studies have determined that only a portion of attribution structures has been identified and addressed. This paper presents the collection and further annotation of a database of over 9800 attributions relations from the Penn Discourse TreeBank (PDTB). The aim is to build a large and complete resource that fills a key gap in the field and enables the training and testing of robust attribution extraction systems.