3 accepted papers
The lack of explainability in state-of-the-art Natural Language Understanding (NLU) classification models has increased interest in developing techniques for improving explainable linear feature-based models (e.g., Logistic Regression/SVM). Politeness detection is a task that exemplifies this intere…
Text Classification is one of the most common tasks in Natural Language Processing. When proposing new classification models, practitioners select a sample of items the proposed model classified correctly while the baseline did not, and then try to observe patterns across those items to understand t…
Linguistic analyses in natural language processing (NLP) have often been performed around the static notion of words where the context (surrounding words) is not considered. For example, previous analyses on politeness have focused on comparing the use of static words such as personal pronouns acros…