  We present the DURel tool that implements the annotation of semantic
proximity between uses of words into an online, open source interface. The tool
supports standardized human annotation as well as computational annotation,
building on recent advances with Word-in-Context models. Annotator judgments
are clustered with automatic graph clustering techniques and visualized for
analysis. This allows to measure word senses with simple and intuitive
micro-task judgments between use pairs, requiring minimal preparation efforts.
The tool offers additional functionalities to compare the agreement between
annotators to guarantee the inter-subjectivity of the obtained judgments and to
calculate summary statistics giving insights into sense frequency
distributions, semantic variation or changes of senses over time.
