Papers with kappa

3 papers
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions (C18-1)

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Challenge: Existing corpus of child-directed speech augments existing corpus for semantic role labels . sense and number of arguments were open to multiple interpretations due to rapidly changing discourse .
Approach: They propose to augment an existing corpus of child-directed speech to provide supervised learning of semantic role labels.
Outcome: The resulting corpus is a gold standard for supervised learning of semantic role labels in child-directed speech.
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability (2021.acl-long)

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Challenge: Respectable journals typically require reporting quantitative evidence for inter-rater reliability (IRR) of the data.
Approach: They propose to benchmark IRR against baseline measures in a replication dataset and use Cohen's (1960) kappa to measure inter-rater reliability.
Outcome: The proposed framework can be used to measure the quality of crowdsourced datasets.
TwiUSD: A Benchmark Dataset and Structure-Aware LLM Framework for User Stance Detection (2026.acl-long)

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Challenge: Existing benchmarks for political user-level stance detection rely on noisy heuristics or distant supervision.
Approach: They propose a large-scale, expert-annotated benchmark for political user-level stance detection with explicit social network structure that integrates user content and followee signals.
Outcome: The proposed framework outperforms baselines in terms of quality and reliability.

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