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Temporal information conveyed by language describes how the world around uschanges through time. Events, durations and times are all temporal elementsthat can be viewed as intervals. These intervals are sometimes temporallyrelated in text. Automatically determining the nature of such relations is acomplex and unsolved problem. Some words can act as "signals" which suggest atemporal ordering between intervals. In this paper, we use these signal wordsto improve the accuracy of a recent approach to classification of temporallinks.

Using Signals to Improve Automatic Classification of Temporal Relations