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Parsing Time: Learning to Interpret Time Expressions

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Figure

Figure 1: An illustration of a temporal distribution, e.g.,Sunday. The reference time is labeled as time t betweenNov 20 and Nov 27; the probability that this sequenceis referring to Nov 20 is the integral of the marked area.The domain of the graph are the
Figure 2: The grammar – (a) describes the CFG parse ofthe temporal types. Words are tagged with their nontermi-nal entry, above which only the types of the expressionsare maintained; (b) describes the corresponding combi-nation of the temporal instances
Table 2: The functional preterminals of the grammar; R, S, and D denote Ranges Sequences and Durations respec-tively
Figure 3: An overview of the system architecture. Notethat the parse is latent – that is, it is not annotated in thetraining data.
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