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Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data

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Figure

Figure 1: An example of the summary and the corre-sponding table.
Table 1: Examples from the derived tag set, where eachtag could correspond to one of three types of values.
Figure 2: A Semi-HMM that can yield an entire phrasefrom one tag.
Figure 3: A slightly different Semi-HMM whose tran-sition score is calculated by skipping NULL fields.
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