DUKweb, diachronic word representations from the UK Web Archive corpus.
DUKweb, diachronic word representations from the UK Web Archive corpus.
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DOI：
10.1038/s41597-021-01047-x
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发表时间：
2021-10-15
期刊：
影响因子：
9.8
通讯作者：
McGillivray B
中科院分区：
文献类型：
--
作者：
Tsakalidis A;Basile P;Bazzi M;Cucuringu M;McGillivray B
词汇语义变化（检测词的含义和用法的变化）是社会和文化研究以及自然语言处理应用的重要任务。历时词嵌入（保留其含义的词的时间敏感向量表示）已成为这项任务的标准资源。然而，鉴于其生成所需的大量计算资源，使得历时词嵌入可用于科学界的资源非常少。在本文中，我们介绍了DUKweb，一套大型的资源设计的历时分析当代英语。DUKweb是根据JISC UK Web Domain Dataset（1996-2013）创建的，该数据集是一个非常大的存档，收集了来自Internet Archive的资源，这些资源托管在以“. uk”结尾的域名上。DUKweb由JISC UK Web Domain数据集中每年的一系列词共现矩阵和两种类型的词嵌入组成。我们通过一个词义变化检测的案例研究，展示了DUKweb的重用潜力及其质量标准。描述报告数据的机器可访问元数据文件：10.6084/m9.figshare.16438863
Lexical semantic change (detecting shifts in the meaning and usage of words) is an important task for social and cultural studies as well as for Natural Language Processing applications. Diachronic word embeddings (time-sensitive vector representations of words that preserve their meaning) have become the standard resource for this task. However, given the significant computational resources needed for their generation, very few resources exist that make diachronic word embeddings available to the scientific community. In this paper we present DUKweb, a set of large-scale resources designed for the diachronic analysis of contemporary English. DUKweb was created from the JISC UK Web Domain Dataset (1996–2013), a very large archive which collects resources from the Internet Archive that were hosted on domains ending in ‘.uk’. DUKweb consists of a series word co-occurrence matrices and two types of word embeddings for each year in the JISC UK Web Domain dataset. We show the reuse potential of DUKweb and its quality standards via a case study on word meaning change detection. Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.16438863
DOI：
10.1007/978-1-4614-2311-9_8
发表时间：
2012-01-01
期刊：
SYSTEMIC STRUCTURE BEHIND HUMAN ORGANIZATIONS: FROM CIVILIZATIONS TO INDIVIDUALS
影响因子：
--
作者：
Lin, Yi;Forrest, Bailey
通讯作者：
Forrest, Bailey
影响因子：
3.6
作者：
Chinazzi, Matteo;Goncalves, Bruno;Vespignani, Alessandro
通讯作者：
Vespignani, Alessandro
影响因子：
6
作者：
Bengio, Y;Ducharme, R;Jauvin, C
通讯作者：
Jauvin, C