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--- |
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language: en |
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license: unknown |
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widget: |
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- text: "<ARG1>She fell</ARG1> because <ARG0>he pushed her</ARG0> ." |
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example_title: "Causal Example 1" |
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- text: "<ARG0>He pushed her</ARG0> , <ARG1>causing her to fall</ARG1>." |
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example_title: "Causal Example 2" |
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- text: "<ARG0>She fell</ARG0> because <ARG1>he pushed her</ARG1> ." |
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example_title: "Non-causal Example 1" |
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- text: "<ARG1>He is Billy</ARG1> and <ARG0>he pushed her</ARG0>." |
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example_title: "Non-causal Example 2" |
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--- |
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Binary causal sentence classification with argument prompts: |
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* LABEL_0 = Non-causal |
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* LABEL_1 = Causal (ARG0 causes ARG1) |
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Trained on multiple datasets. |
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For Causal sequences, try swapping the arguments to observe the prediction results. |
