Predicting the Focus of Negation: Model and Error Analysis
Md Mosharaf Hossain, Kathleen E. Hamilton, Alexis Palmer, Eduardo Blanco · 2020
The focus of a negation is the set of tokens intended to be negated, and a key component for revealing affirmative alternatives to negated utterances.In this paper, we experiment with neural networks to predict the focus of negation.Our main novelty is leveraging a scope detector to introduce the scope of negation as an additional input to the network.Experimental results show that doing so obtains the best results to date.Additionally, we perform a detailed error analysis providing insights into the main error categories, and analyze errors depending on whether the model takes into account scope and context information.