SOMD - SOftware Mention Detection

<p>The dataset contains the training and test data for the SOftware Mention Detection challenge. The data is derived from the SoMeSci Knowledge Graph of software mentions.</p> <ul> <li>Subtask 1 deals with the recognition of software mentions and the classification of mention (e.g. Usage, Creation,...) and software types (e.g. Application, PlugIn,...) at the same time&nbsp;</li> <li>Subtask 2 requires the recognition of additional meta data of software mentions (e.g. Version, Developer, URL,...)</li> <li>Subtask 3 deals with extracting the relations between the different entities of interest (e.g. Version_of, License_of,...)</li> </ul> <p>A detailed description of the dataset including the creation and a baseline for the different subtasks can be found in the following article&nbsp;</p> <p>D. Schindler, F. Bensmann, S. Dietze, and F. Kr&uuml;ger, &ldquo;SoMeSci&mdash;A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles,&rdquo; in Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM &rsquo;21), Virtual Event, QLD, Australia: Association for Computing Machinery, Nov. 2021. doi: <a href="https://doi.org/10.1145/3459637.3482017">10.1145/3459637.3482017</a>.</p>