Papers with Entailment-driven Extract
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading (P19-1)
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| Challenge: | Conversational machine reading systems help users answer high-level questions when they do not know the exact rules by which the decision is made. |
| Approach: | They propose a conversational machine reading model that extracts a set of decision rules from a procedural text which the system must read to figure out what to ask the user. |
| Outcome: | The proposed model outperforms existing systems and a BERT-based baseline on the ShARC conversational machine reading dataset and provides an explainable alternative to prior work. |