@inproceedings{hatty-etal-2019-surel,
    title = "{SUR}el: A Gold Standard for Incorporating Meaning Shifts into Term Extraction",
    author = {H{\"a}tty, Anna  and
      Schlechtweg, Dominik  and
      Schulte im Walde, Sabine},
    booktitle = "Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*{SEM} 2019)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/S19-1001",
    doi = "10.18653/v1/S19-1001",
    pages = "1--8",
    abstract = "We introduce SURel, a novel dataset with human-annotated meaning shifts between general-language and domain-specific contexts. We show that meaning shifts of term candidates cause errors in term extraction, and demonstrate that the SURel annotation reflects these errors. Furthermore, we illustrate that SURel enables us to assess optimisations of term extraction techniques when incorporating meaning shifts.",
}