From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations
{{output}}
This paper presents the first model for time normalization trained on the SCATE corpus. In the SCATE schema, time expressions are annotated as a semantic composition of time entities. This novel schema favors machine learning approaches, as it can be viewed as... ...
