IRAC: A Domain-Specific Annotated Corpus of Implicit Reasoning in Arguments (2022.lrec-1)
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| Challenge: | Using crowdsourcing, we show that models trained with domain-specific implicit reasonings outperform domain-general models in both automatic and human evaluations. |
| Approach: | They propose to create a domain-specific corpus of implicit reasonings annotated for a wide range of arguments and use it to generate models. |
| Outcome: | The proposed corpus outperforms domain-general models in automatic and human evaluations. |
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