Enriching news events with meta-knowledge information
Enriching news events with meta-knowledge information
复制标题
用元知识信息丰富新闻事件
DOI:
10.1007/s10579-016-9344-9
复制
发表时间:
2016
影响因子:
2.7
通讯作者:
Thompson P
中科院分区:
文献类型:
--
作者:
Thompson P
Given the vast amounts of data available in digitised textual form, it is important to provide mechanisms that allow users to extract nuggets of relevant information from the ever growing volumes of potentially important documents. Text mining techniques can help, through their ability to automatically extract relevanteventdescriptions, which link entities with situations described in the text. However, correct and complete interpretation of these event descriptions is not possible without considering additional contextual information often present within the surrounding text. This information, which we refer to asmeta-knowledge, can include (but is not restricted to) the modality, subjectivity, source, polarity and specificity of the event. We have developed a meta-knowledge annotation scheme specifically tailored for news events, which includes six aspects of event interpretation. We have applied this annotation scheme to the ACE 2005 corpus, which contains 599 documents from various written and spoken news sources. We have also identified and annotated the words and phrases evoking the different types of meta-knowledge. Evaluation of the annotated corpus shows high levels of inter-annotator agreement for five meta-knowledge attributes, and moderate level of agreement for the sixth attribute. Detailed analysis of the annotated corpus has revealed further insights into the expression mechanisms of different types of meta-knowledge, their relative frequencies and mutual correlations.
登录
查看更多内容
DOI:
--
发表时间:
2012
期刊:
International Conference on Language Resources and Evaluation
影响因子:
--
作者:
Silvia Pareti
通讯作者:
Silvia Pareti
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
E. Blanco;R. M. Vallejo
通讯作者:
R. M. Vallejo
DOI:
--
发表时间:
2010
期刊:
--
影响因子:
--
作者:
Jason S Kessler;Miriam Eckert;Lyndsie Clark;Nicolas Nicolov
通讯作者:
Jason S Kessler;Miriam Eckert;Lyndsie Clark;Nicolas Nicolov
DOI:
--
发表时间:
2012
期刊:
Annual Meeting of the Association for Computational Linguistics
影响因子:
--
作者:
Maria Liakata;Paul Thompson;Anita de Waard;R. Nawaz;H. Pander Maat;S. Ananiadou
通讯作者:
S. Ananiadou
DOI:
--
发表时间:
2010
期刊:
International Conference on Language Resources and Evaluation
影响因子:
--
作者:
R. Nawaz;Paul Thompson;J. McNaught;S. Ananiadou
通讯作者:
S. Ananiadou