Papers with Human annotation of explanation signals

1 papers
Main Predicate and Their Arguments as Explanation Signals For Intent Classification (2025.naacl-long)

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Challenge: Intent classification is crucial for conversational agents, and deep learning models perform well in this area due to the lack of suitable benchmark data.
Approach: They propose a technique to augment text samples from intent classification datasets with word-level explanations by marking main predicates and their arguments as explanation signals.
Outcome: The proposed method augments text samples from intent classification datasets with word-level explanations.

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