Research data supporting "Question Answering System for Chemistry -- a semantic agent extension"

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Authors
  Zhou, Xiaochi
Nurkowski, Daniel
  Menon, Angiras
  Akroyd, Jethro
  Mosbach, Sebastian
  Kraft, Markus
Publication Date
2022-06-07
Type
Dataset
Metadata
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Citation
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
Description
This dataset contains the evaluation set of the questions and the detailed responses to those evaluation questions.
Format
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.
Keywords
Question Answering, Semantic Web, Knowledge Graph, Semantic Agents
Relationships
Publication Reference: https://doi.org/10.1021/acs.jcim.1c00275https://www.repository.cam.ac.uk/handle/1810/337205
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.78870
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)