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Region-by-region surprisal
Sample item for Filler-Gap Dependencies (4 sentential embeddings)
The first item of the test suite is shown below for quick reference. Please visit the page for Filler-Gap Dependencies (4 sentential embeddings) to see the full list of items.
| Item |
Condition
| prefix | comp | embedding | subj | verb | obj | continuation |
|---|---|---|---|---|---|---|---|---|
| Item | Condition | prefix | comp | embedding | subj | verb | obj | continuation |
| 1 | what_gap | I know | what | our mother said her friend remarked that the park attendant reported the cop thinks | your friend | threw | into the trash can | |
| 1 | that_gap | I know | that | our mother said her friend remarked that the park attendant reported the cop thinks | your friend | threw | into the trash can | |
| 1 | what_no-gap | I know | what | our mother said her friend remarked that the park attendant reported the cop thinks | your friend | threw | the plastic | into the trash can |
| 1 | that_no-gap | I know | that | our mother said her friend remarked that the park attendant reported the cop thinks | your friend | threw | the plastic | into the trash can |
Showing 1 to 4 of 4 entries
Prediction performance for Transformer XL on Filler-Gap Dependencies (4 sentential embeddings)
| Accuracy |
Formula
| Description |
|---|---|---|
| Accuracy | Prediction | Description |
| 33.33% | what_no-gap.obj>that_no-gap.obj |
We expect the object to be less surprising in the that_no-gap condition than in the what_no-gap condition, because an upstream wh-word should set up an expectation for a gap. |
| 66.67% | what_gap.continuation<that_gap.continuation |
We expect the continuation to be lower in the what_gap condition than in the that_gap condition, because gaps must be licensed by upstream wh words (such as “what”). |
Showing 1 to 2 of 2 entries