Table 6 gives log-likelihood values of the classifier for the training and test sets, along with the upper and lower bounds. The upper bound is the log-likelihood of the model that uses the exact distribution from the Turkers. The lower bound is the log-likelihood of a model that uses only the overall rate of each class in our annotations for the training data.

Table 6.

. | Train. | Test. |
---|---|---|

lower-bound | − 10813.97 | − 1987.86 |

classifier | − 8021.85 | − 1324.41 |

upper-bound | − 3776.30 | − 590.75 |

. | Train. | Test. |
---|---|---|

lower-bound | − 10813.97 | − 1987.86 |

classifier | − 8021.85 | − 1324.41 |

upper-bound | − 3776.30 | − 590.75 |

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