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This report provides an overview of the intermediate summarisation and annotation services (developed under the Task 3.3 of WP3 in the Lynx project). This report describes several services that are divided into Annotation Services, which goal is enriching documents by annotating semantic information on them; and Summarisation Service, which aim at generating a new and shorter piece of a text from one or several texts (documents or parts of documents). The description of the services is composed of two parts: for each of the services, first, its general approach is presented. Then, its application in the Lynx project is introduced, putting the focus on datasets used for training new models, rules defined for domain adaptability or generation of dictionaries for specific topics or scenarios. Being an intermediate report, the described services are still under development, and will still experience changes and improvements in the following months. However, large amounts of work have been done in the interoperability aspect (data interchange format) and the conversion of the services for working in a docker microservice architecture. The fact that the services are already properly running and working in Openshift is a success.
annotation services, summarisation, Summ, , NER, Geo, TimEx
annotation services, summarisation, Summ, , NER, Geo, TimEx
citations 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 |