Webis-Health-CauseNet-22
Synopsis
An efficient assessment of the health relatedness of text passages is important to mine the web at scale to conduct health sociological analyses or to develop a health search engine. We propose a new efficient and effective termhood score for predicting the health relatedness of phrases and sentences, which achieves 69
Access
Please refer to this publication for citing the dataset. If you want to link the dataset, please use the dataset permalink [doi].
- Download the dataset from Zenodo.
People
- Ferdinand Schlatt
- Dieter Bettin
- Matthias Hagen
- Benno Stein
- Martin Potthast
Publications