Papers by Alistair Willis

2 papers
Rethinking the Agreement in Human Evaluation Tasks (C18-1)

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Challenge: In natural language processing, IAA is often viewed as a means of assessing the quality of data on a task, in particular, the reliability.
Approach: They propose a new approach to use agreement metrics in natural language generation evaluation tasks to reduce subjective bias.
Outcome: The proposed approach is based on the inter-annotator agreement (IAA) of natural language generation tasks.
Identifying Annotator Bias: A new IRT-based method for bias identification (2020.coling-main)

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Challenge: An important factor that can affect the Inter Annotator Agreement (IAA) is the presence of annotator bias.
Approach: They propose a new interpretation and application of the Item Response Theory to detect annotators' bias and characterise annotation disagreement.
Outcome: The proposed method can be used to spot outliers, improve annotation guidelines and provide a better picture of the annotation reliability.

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