@inproceedings{marsi-etal-2017-marine,
    title = "Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature",
    author = "Marsi, Erwin  and
      Pinar {\O}zturk, Pinar  and
      V. Ardelan, Murat",
    editor = "Martins, Andr{\'e}  and
      Pe{\~n}as, Anselmo",
    booktitle = "Proceedings of the Software Demonstrations of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/E17-3023/",
    pages = "91--94",
    abstract = "We report on a demonstration system for text mining of literature in marine science and related disciplines. It automatically extracts variables ({\textquotedblleft}CO2{\textquotedblright}) involved in events of change/increase/decrease ({\textquotedblleft}increasing CO2{\textquotedblright}), as well as co-occurrence and causal relations among these events ({\textquotedblleft}increasing CO2 causes a decrease in pH in seawater{\textquotedblright}), resulting in a big knowledge graph. A web-based graphical user interface targeted at marine scientists facilitates searching, browsing and visualising events and their relations in an interactive way."
}