Before revision:  We show that TRACIE is challenging for state-of-the-art language models . Our proposed model, SymTime, exploits distant supervision signals from the text itself and reasons over events' start time and duration to infer events' end time points.
After revision:  We show that TRACIE is challenging for state-of-the-art models struggle when predicting temporal relationships between implicit and explicit events. To address this, we propose a neuro-symbolic temporal reasoning model, SYMTIME, which exploits distant supervision signals from the text itself and reasons over events' start time and duration to infer events' end time points.