VADIS -- a VAriable Detection, Interlinking and Summarization system
The VADIS system addresses the demand of providing enhanced information access in the domain of the social sciences. This is achieved by allowing users to search and use survey variables in context of their underlying research data and scholarly publications which have been interlinked with each other.
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Tasks
SurveyVariable DetectionSimilar Papers 제목 키워드 기반
Towards Automated Survey Variable Search and Summarization in Social Science Publications
Nowadays there is a growing trend in many scientific disciplines to support researchers by providing enhanced information access through linking of publications and underlying datasets, so as to support research with inf…
Variable DetectionInterlinking Iconclass Data with Concepts of Art \& Architecture Thesaurus
Iconclass, being a a well established classification system, could benefit from interconnections with other ontologies in order to semantically enrich its content. This work presents a disambiguating and interlinking app…
Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications
In this paper, we provide an overview of the SV-Ident shared task as part of the 3rd Workshop on Scholarly Document Processing (SDP) at COLING 2022. In the shared task, participants were provided with a sentence and a vo…
SentenceVariable DetectionVariable DisambiguationCross-lingual RDF Thesauri Interlinking
Various lexical resources are being published in RDF. To enhance the usability of these resources, identical resources in different data sets should be linked. If lexical resources are described in different natural lang…
Machine TranslationTranslationPosition: Quo Vadis, Unsupervised Time Series Anomaly Detection?
The current state of machine learning scholarship in Timeseries Anomaly Detection (TAD) is plagued by the persistent use of flawed evaluation metrics, inconsistent benchmarking practices, and a lack of proper justificati…
Anomaly DetectionBenchmarkingPositionTime Series+1