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<h2 class="title is-3">Abstract</h2>
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We present IXAM, an Interactive eXplainability framework for Authorship Attribution Models. Given an authorship attribution (AA) task and an embedding-based AA model, our tool enables users to interactively explore the model
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<img src="./static/images/ixam_fig.png" alt="
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<h2 class="title is-3">Abstract</h2>
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We present IXAM, an Interactive eXplainability framework for Authorship Attribution Models. Given an authorship attribution (AA) task and an embedding-based AA model, our tool enables users to interactively explore the model's embedding space and construct an explanation of the model's prediction as a set of writing style features at different levels of granularity. Through a user evaluation, we demonstrate the value of our framework compared to predefined stylistic explanations.
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<img src="./static/images/ixam_fig.png" alt="" width="80%" height="600" style="align-content: center;">
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