CASCADE: Computational Analysis of Semantic Change Across Different Environments

该网络旨在培训早期研究人员开发和应用不同环境中语义变化的计算分析（CASCADE）的创新方法，即识别，分析和询问在不同语境中语言中如何表达意义，共同关注时间的影响（历时文本分析）.CASCADE应对学术、公共和商业部门的技能短缺：需要人们能够检索、批判性地评估和更好地利用困扰我们当代信息社会的大量文本数据（“数据洪流”）。该联盟是由来自英国、比利时、芬兰、爱尔兰和德国的一些欧洲世界领先的大学和公司合作而成的。整个培训方法将包括受益人“匹配”，以主办和支持10个单独的研究项目，此外还有10个借调人员，并通过一个网络范围的培训营和研究公约方案得到加强。每个研究项目的关键成果，除了预期的ESRs 1至10的博士论文外，还将包括12篇专家合著的文章，面向普通读者的维基百科文章，以及新的软件和算法。该网络对潜在研究人员的独特卖点是其对计算语言学和人文学术的强调，这些技能为关注语义感知信息检索的组织带来了价值和竞争优势。这些组织可能是学术或商业组织，参与早期研发（方法开发）或早期采用新方法（方法应用）。

This network aims to train early-stage researchers to develop and apply innovative methodologies for Computational Analysis of Semantic Change Across Different Environments (CASCADE), i.e. to identify, analyse and interrogate how meaning is expressed in language in diverse contexts, with a shared focus on the impact of time (diachronic text analytics).CASCADE responds to a skills deficit within the academic, public and commercial sectors: the need for people able to retrieve, critically evaluate and make better use of the large volumes of textual data that characterise our contemporary information society (the 'data deluge'). The consortium is a collaboration of some of Europe's world-leading universities and companies from the United Kingdom, Belgium, Finland, Ireland, and Germany.The overall training approach will consist of beneficiaries 'matching up' to host and support 10 individual research projects, in addition to 10 secondments, and reinforced by a programme of network-wide Training Camps and Research Conventions. The key deliverables from each research project, in addition to the anticipated doctoral theses for ESRs 1 to 10, will include 12 co-authored articles for experts, Wikipedia articles for a general audience, and new software and algorithms. The network's unique selling point for potential researchers is its emphasis on computational linguistics and humanities scholarship as skills that bring value and competitive edge to organisations concerned with semantically-aware information retrieval. These organisations might be academic or commercial, involved in early stage R&D (methods development) or early adoption of new methods (methods application).