Research data supporting "Question Answering System for Chemistry -- a semantic agent extension"
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Zhou, X., Nurkowski, D., Menon, A., Akroyd, J., Mosbach, S., & Kraft, M. (2022). Research data supporting "Question Answering System for Chemistry -- a semantic agent extension" [Dataset]. https://doi.org/10.17863/CAM.78870
This dataset contains the evaluation set of the questions and the detailed responses to those evaluation questions.
The source code is available at https://github.com/cambridge-cares/TheWorldAvatar (commit 619c92ba13065869cd7dc33d0db8351c1ada3c14). The project contains a docker file that can be used to create the software environment to reproduce the work described in the paper. The uploaded files contain the evaluation results described in the paper as JSON files.
Question Answering, Semantic Web, Knowledge Graph, Semantic Agents
Publication Reference: https://doi.org/10.1021/acs.jcim.1c00275https://www.repository.cam.ac.uk/handle/1810/337205
This record's DOI: https://doi.org/10.17863/CAM.78870
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/