You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The paper submitted to [Elpub 2016] is accessible at
http://dx.doi.org/10.3233/978-1-61499-649-1-105.
The extended versio of this paper is accessible at https://arxiv.org/abs/1611.01820
This paper is about: Identifying and Improving Dataset References in Social Sciences Full Texts
- The suggested approach tries to make explicit links to datasets in papers that have been published already.
- We suggest and evaluate a semi-automatic approach (using the [da|ra repository](http://www.da-ra.de)) for finding references to datasets in social sciences papers.
- It performed well on a small test corpus (gold standard). The mda papers in the 'Source_file' path were used as the test corpus.
- 'ELPub_Corpus_evaluation.xlsx' contains some information about the test corpus and the gold standard.
- A combination of cosine similarity and tf-idf is main part of the sugegsted approach.
- Our approach achieved an F-measure of 0.854 for identifying references in full texts and an F-measure of 0.679 for finding correct
matches of detected references in the da|ra dataset registry.