A survey of argumentation mining techniques that reviews models from structured text to social media and proposes a flexible conceptual architecture framework for social media data.
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Attention layers do not improve BiLSTM performance on argument unit segmentation and contextualized embeddings show little benefit.
citing papers explorer
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The evolution of argumentation mining: From models to social media and emerging tools
A survey of argumentation mining techniques that reviews models from structured text to social media and proposes a flexible conceptual architecture framework for social media data.
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Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation
Attention layers do not improve BiLSTM performance on argument unit segmentation and contextualized embeddings show little benefit.