
The following report documents the work of Work Package 8 in the CLS Infrastructure Project. The general goals of this work package are to increase the ease of access and application to NLP tools, including for less-well-resourced languages, as well as their standardization. The report is organized as follows: an explaination of relational extraction as a method, and a proposed tool for this task. This tool, in the form of a notebook builds on the NER tools presented in D8.3. These tools integrate work in both WP 6 and 7 which facilitates integration of the pipeline from data preparation, programmable corpora, to analysis and back. This research was conducted within the framework of the European-funded Computational Literary Studies Infrastructure (CLS INFRA, https://clsinfra.io/) project, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004984, which aims to build a shared and sustainable infrastructure for literary studies with digital tools.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
